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Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. 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=> '', 'rss_cover_image' => '', 'rss_export_link' => 'https://summurai.com/rss/user-experience-fomo', 'hide_embed_iframe_header' => '0', 'hide_embed_iframe_footer' => '0', 'allow_export_text' => '0', 'allow_export_rtf' => '0', 'allow_export_audio' => '0', 'allow_export_image' => '0', 'allow_export_csv' => '0', 'export_alt_head_foot' => '0', 'export_hide_powerby' => '0', 'export_alt_code' => '', 'crm_type' => '0', 'hubspot_access_token' => '', 'hubspot_client_secret' => '', 'show_reg_company_name' => '1', 'show_reg_job_title' => '1', 'show_reg_scheduling' => '0', 'reg_consent_text' => '', 'from_app' => '0', 'from_embed_playlist' => '0', 'is_blocked' => '0', 'is_deleted' => '0', 'active_date' => '2023-09-27 20:47:48', 'created' => '2019-06-22 09:37:01', 'modified' => '2024-04-19 02:36:33' ) ), 'lead_id' => (int) 0, 'title_for_layout' => 'Summy | Flat UI Elements Attract Less Attention and Cause Uncertainty', 'permissions' => null, 'logedin_user_details' => null ) $data = array( 'MyItem' => array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. 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=> '', 'rss_cover_image' => '', 'rss_export_link' => 'https://summurai.com/rss/user-experience-fomo', 'hide_embed_iframe_header' => '0', 'hide_embed_iframe_footer' => '0', 'allow_export_text' => '0', 'allow_export_rtf' => '0', 'allow_export_audio' => '0', 'allow_export_image' => '0', 'allow_export_csv' => '0', 'export_alt_head_foot' => '0', 'export_hide_powerby' => '0', 'export_alt_code' => '', 'crm_type' => '0', 'hubspot_access_token' => '', 'hubspot_client_secret' => '', 'show_reg_company_name' => '1', 'show_reg_job_title' => '1', 'show_reg_scheduling' => '0', 'reg_consent_text' => '', 'from_app' => '0', 'from_embed_playlist' => '0', 'is_blocked' => '0', 'is_deleted' => '0', 'active_date' => '2023-09-27 20:47:48', 'created' => '2019-06-22 09:37:01', 'modified' => '2024-04-19 02:36:33' ) ) $lead_id = (int) 0 $title_for_layout = 'Summy | Flat UI Elements Attract Less Attention and Cause Uncertainty' $permissions = null $logedin_user_details = null $item_title = 'Flat UI Elements Attract Less Attention and Cause Uncertainty' $item_summary = 'A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.' $item_site_name = 'Nngroup' $voice_url = 'https://summarytime.com/uploads/voice_file/7208.mp3'
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$viewFile = '/home/summarytime/summurai.com/app/View/Article/landing.ctp' $dataForView = array( 'data' => array( 'MyItem' => array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> '', 'rss_cover_image' => '', 'rss_export_link' => 'https://summurai.com/rss/user-experience-fomo', 'hide_embed_iframe_header' => '0', 'hide_embed_iframe_footer' => '0', 'allow_export_text' => '0', 'allow_export_rtf' => '0', 'allow_export_audio' => '0', 'allow_export_image' => '0', 'allow_export_csv' => '0', 'export_alt_head_foot' => '0', 'export_hide_powerby' => '0', 'export_alt_code' => '', 'crm_type' => '0', 'hubspot_access_token' => '', 'hubspot_client_secret' => '', 'show_reg_company_name' => '1', 'show_reg_job_title' => '1', 'show_reg_scheduling' => '0', 'reg_consent_text' => '', 'from_app' => '0', 'from_embed_playlist' => '0', 'is_blocked' => '0', 'is_deleted' => '0', 'active_date' => '2023-09-27 20:47:48', 'created' => '2019-06-22 09:37:01', 'modified' => '2024-04-19 02:36:33' ) ) $lead_id = (int) 0 $title_for_layout = 'Summy | Flat UI Elements Attract Less Attention and Cause Uncertainty' $permissions = null $logedin_user_details = null $item_title = 'Flat UI Elements Attract Less Attention and Cause Uncertainty' $item_summary = 'A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.' $item_site_name = 'Nngroup' $voice_url = 'https://summarytime.com/uploads/voice_file/7208.mp3'include - APP/View/Article/landing.ctp, line 97 View::_evaluate() - CORE/Cake/View/View.php, line 948 View::_render() - CORE/Cake/View/View.php, line 910 View::render() - CORE/Cake/View/View.php, line 471 Controller::render() - CORE/Cake/Controller/Controller.php, line 954 Dispatcher::_invoke() - CORE/Cake/Routing/Dispatcher.php, line 198 Dispatcher::dispatch() - CORE/Cake/Routing/Dispatcher.php, line 165 [main] - APP/webroot/index.php, line 108
Notice (8): Undefined index: Client [APP/View/Article/landing.ctp, line 100]How can we help?Code Context<div class="popup-header">
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<?php echo (($brand_details['Client']['pseudo_language_id']==2)?'איך אפשר לעזור?':"How can we help?");?><span class="assist-close"><button aria-label="Close" data-dismiss="modal" class="close close_help_desk" type="button"> <?php echo $this->Html->image('images/cls.jpg', array('alt'=>'','class'=>''));?> </button></span>
$viewFile = '/home/summarytime/summurai.com/app/View/Article/landing.ctp' $dataForView = array( 'data' => array( 'MyItem' => array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> null, 'from_embed_playlist' => null, 'status' => null, 'is_blocked' => null, 'is_deleted' => null, 'created' => null, 'modified' => null ), 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $summy_lang = array( 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $brand_details = array() $keywords = 'page,weak signifiers,users,user gaze patterns,participants,task,text links,interactive elements,fixations,different user gaze,task time,in-line text links,clickability signifiers,weak 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Attract Less Attention and Cause Uncertainty' $item_summary = 'A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.' $item_site_name = 'Nngroup' $voice_url = 'https://summarytime.com/uploads/voice_file/7208.mp3'include - APP/View/Article/landing.ctp, line 100 View::_evaluate() - CORE/Cake/View/View.php, line 948 View::_render() - CORE/Cake/View/View.php, line 910 View::render() - CORE/Cake/View/View.php, line 471 Controller::render() - CORE/Cake/Controller/Controller.php, line 954 Dispatcher::_invoke() - CORE/Cake/Routing/Dispatcher.php, line 198 Dispatcher::dispatch() - CORE/Cake/Routing/Dispatcher.php, line 165 [main] - APP/webroot/index.php, line 108
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$viewFile = '/home/summarytime/summurai.com/app/View/Article/landing.ctp' $dataForView = array( 'data' => array( 'MyItem' => array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> null, 'from_embed_playlist' => null, 'status' => null, 'is_blocked' => null, 'is_deleted' => null, 'created' => null, 'modified' => null ), 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $summy_lang = array( 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $brand_details = array() $keywords = 'page,weak signifiers,users,user gaze patterns,participants,task,text links,interactive elements,fixations,different user gaze,task time,in-line text links,clickability signifiers,weak 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=> '', 'rss_cover_image' => '', 'rss_export_link' => 'https://summurai.com/rss/user-experience-fomo', 'hide_embed_iframe_header' => '0', 'hide_embed_iframe_footer' => '0', 'allow_export_text' => '0', 'allow_export_rtf' => '0', 'allow_export_audio' => '0', 'allow_export_image' => '0', 'allow_export_csv' => '0', 'export_alt_head_foot' => '0', 'export_hide_powerby' => '0', 'export_alt_code' => '', 'crm_type' => '0', 'hubspot_access_token' => '', 'hubspot_client_secret' => '', 'show_reg_company_name' => '1', 'show_reg_job_title' => '1', 'show_reg_scheduling' => '0', 'reg_consent_text' => '', 'from_app' => '0', 'from_embed_playlist' => '0', 'is_blocked' => '0', 'is_deleted' => '0', 'active_date' => '2023-09-27 20:47:48', 'created' => '2019-06-22 09:37:01', 'modified' => '2024-04-19 02:36:33' ) ) $lead_id = (int) 0 $title_for_layout = 'Summy | Flat UI Elements Attract Less Attention and Cause Uncertainty' $permissions = null $logedin_user_details = null $item_title = 'Flat UI Elements Attract Less Attention and Cause Uncertainty' $item_summary = 'A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.' $item_site_name = 'Nngroup' $voice_url = 'https://summarytime.com/uploads/voice_file/7208.mp3' $route_show_url = 'https://summurai.com/'include - APP/View/Article/landing.ctp, line 219 View::_evaluate() - CORE/Cake/View/View.php, line 948 View::_render() - CORE/Cake/View/View.php, line 910 View::render() - CORE/Cake/View/View.php, line 471 Controller::render() - CORE/Cake/Controller/Controller.php, line 954 Dispatcher::_invoke() - CORE/Cake/Routing/Dispatcher.php, line 198 Dispatcher::dispatch() - CORE/Cake/Routing/Dispatcher.php, line 165 [main] - APP/webroot/index.php, line 108
Notice (8): Undefined index: Client [APP/View/Article/landing.ctp, line 220]We're on it.Code Context<div class="thumbs-up-part stap02 help_desk_success" style="display:none;">
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<h2><?php echo (($brand_details['Client']['pseudo_language_id']==2)?'אנחנו על זה.':"We're on it.");?></h2>
$viewFile = '/home/summarytime/summurai.com/app/View/Article/landing.ctp' $dataForView = array( 'data' => array( 'MyItem' => array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> null, 'from_embed_playlist' => null, 'status' => null, 'is_blocked' => null, 'is_deleted' => null, 'created' => null, 'modified' => null ), 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $summy_lang = array( 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $brand_details = array() $keywords = 'page,weak signifiers,users,user gaze patterns,participants,task,text links,interactive elements,fixations,different user gaze,task time,in-line text links,clickability signifiers,weak 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=> '', 'rss_cover_image' => '', 'rss_export_link' => 'https://summurai.com/rss/user-experience-fomo', 'hide_embed_iframe_header' => '0', 'hide_embed_iframe_footer' => '0', 'allow_export_text' => '0', 'allow_export_rtf' => '0', 'allow_export_audio' => '0', 'allow_export_image' => '0', 'allow_export_csv' => '0', 'export_alt_head_foot' => '0', 'export_hide_powerby' => '0', 'export_alt_code' => '', 'crm_type' => '0', 'hubspot_access_token' => '', 'hubspot_client_secret' => '', 'show_reg_company_name' => '1', 'show_reg_job_title' => '1', 'show_reg_scheduling' => '0', 'reg_consent_text' => '', 'from_app' => '0', 'from_embed_playlist' => '0', 'is_blocked' => '0', 'is_deleted' => '0', 'active_date' => '2023-09-27 20:47:48', 'created' => '2019-06-22 09:37:01', 'modified' => '2024-04-19 02:36:33' ) ) $lead_id = (int) 0 $title_for_layout = 'Summy | Flat UI Elements Attract Less Attention and Cause Uncertainty' $permissions = null $logedin_user_details = null $item_title = 'Flat UI Elements Attract Less Attention and Cause Uncertainty' $item_summary = 'A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.' $item_site_name = 'Nngroup' $voice_url = 'https://summarytime.com/uploads/voice_file/7208.mp3' $route_show_url = 'https://summurai.com/'include - APP/View/Article/landing.ctp, line 220 View::_evaluate() - CORE/Cake/View/View.php, line 948 View::_render() - CORE/Cake/View/View.php, line 910 View::render() - CORE/Cake/View/View.php, line 471 Controller::render() - CORE/Cake/Controller/Controller.php, line 954 Dispatcher::_invoke() - CORE/Cake/Routing/Dispatcher.php, line 198 Dispatcher::dispatch() - CORE/Cake/Routing/Dispatcher.php, line 165 [main] - APP/webroot/index.php, line 108
Notice (8): Undefined index: Client [APP/View/Article/landing.ctp, line 221]Thanks a lot. We'll get back to you soon.Code Context<div class="thumbs-icon"><?php echo $this->Html->image(($brand_details['Client']['pseudo_language_id']==2?'images/thumbs-up-icon.jpg':'images/thumbs-up-icon-eng.png'), array('alt'=>'','class'=>''));?></div>
<h2><?php echo (($brand_details['Client']['pseudo_language_id']==2)?'אנחנו על זה.':"We're on it.");?></h2>
<p><?php echo (($brand_details['Client']['pseudo_language_id']==2)?'תודה רבה. נתייחס בהקדם.':"Thanks a lot. We'll get back to you soon.");?></p>
$viewFile = '/home/summarytime/summurai.com/app/View/Article/landing.ctp' $dataForView = array( 'data' => array( 'MyItem' => array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> null, 'from_embed_playlist' => null, 'status' => null, 'is_blocked' => null, 'is_deleted' => null, 'created' => null, 'modified' => null ), 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $summy_lang = array( 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $brand_details = array() $keywords = 'page,weak signifiers,users,user gaze patterns,participants,task,text links,interactive elements,fixations,different user gaze,task time,in-line text links,clickability signifiers,weak 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Attract Less Attention and Cause Uncertainty' $item_summary = 'A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.' $item_site_name = 'Nngroup' $voice_url = 'https://summarytime.com/uploads/voice_file/7208.mp3' $route_show_url = 'https://summurai.com/'include - APP/View/Article/landing.ctp, line 221 View::_evaluate() - CORE/Cake/View/View.php, line 948 View::_render() - CORE/Cake/View/View.php, line 910 View::render() - CORE/Cake/View/View.php, line 471 Controller::render() - CORE/Cake/Controller/Controller.php, line 954 Dispatcher::_invoke() - CORE/Cake/Routing/Dispatcher.php, line 198 Dispatcher::dispatch() - CORE/Cake/Routing/Dispatcher.php, line 165 [main] - APP/webroot/index.php, line 108
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$viewFile = '/home/summarytime/summurai.com/app/View/Article/landing.ctp' $dataForView = array( 'data' => array( 'MyItem' => array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> null, 'from_embed_playlist' => null, 'status' => null, 'is_blocked' => null, 'is_deleted' => null, 'created' => null, 'modified' => null ), 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $summy_lang = array( 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $brand_details = array() $keywords = 'page,weak signifiers,users,user gaze patterns,participants,task,text links,interactive elements,fixations,different user gaze,task time,in-line text links,clickability signifiers,weak 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Attract Less Attention and Cause Uncertainty' $item_summary = 'A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.' $item_site_name = 'Nngroup' $voice_url = 'https://summarytime.com/uploads/voice_file/7208.mp3' $route_show_url = 'https://summurai.com/'
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$viewFile = '/home/summarytime/summurai.com/app/View/Article/landing.ctp' $dataForView = array( 'data' => array( 'MyItem' => array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> null, 'from_embed_playlist' => null, 'status' => null, 'is_blocked' => null, 'is_deleted' => null, 'created' => null, 'modified' => null ), 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $summy_lang = array( 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $brand_details = array() $keywords = 'page,weak signifiers,users,user gaze patterns,participants,task,text links,interactive elements,fixations,different user gaze,task time,in-line text links,clickability signifiers,weak 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The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.' $item_site_name = 'Nngroup' $voice_url = 'https://summarytime.com/uploads/voice_file/7208.mp3' $route_show_url = 'https://summurai.com/' $client_website = 'href="javascript:;"' $show_logo = 'style="display: none;"' $show_name = 'style="display: none;"'include - APP/View/Article/landing.ctp, line 354 View::_evaluate() - CORE/Cake/View/View.php, line 948 View::_render() - CORE/Cake/View/View.php, line 910 View::render() - CORE/Cake/View/View.php, line 471 Controller::render() - CORE/Cake/Controller/Controller.php, line 954 Dispatcher::_invoke() - CORE/Cake/Routing/Dispatcher.php, line 198 Dispatcher::dispatch() - CORE/Cake/Routing/Dispatcher.php, line 165 [main] - APP/webroot/index.php, line 108
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$viewFile = '/home/summarytime/summurai.com/app/View/Article/landing.ctp' $dataForView = array( 'data' => array( 'MyItem' => array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. 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=> array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> null, 'from_embed_playlist' => null, 'status' => null, 'is_blocked' => null, 'is_deleted' => null, 'created' => null, 'modified' => null ), 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $summy_lang = array( 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $brand_details = array() $keywords = 'page,weak signifiers,users,user gaze patterns,participants,task,text links,interactive elements,fixations,different user gaze,task time,in-line text links,clickability signifiers,weak 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The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.' $item_site_name = 'Nngroup' $voice_url = 'https://summarytime.com/uploads/voice_file/7208.mp3' $route_show_url = 'https://summurai.com/' $client_website = 'href="javascript:;"' $show_logo = 'style="display: none;"' $show_name = 'style="display: none;"'include - APP/View/Article/landing.ctp, line 364 View::_evaluate() - CORE/Cake/View/View.php, line 948 View::_render() - CORE/Cake/View/View.php, line 910 View::render() - CORE/Cake/View/View.php, line 471 Controller::render() - CORE/Cake/Controller/Controller.php, line 954 Dispatcher::_invoke() - CORE/Cake/Routing/Dispatcher.php, line 198 Dispatcher::dispatch() - CORE/Cake/Routing/Dispatcher.php, line 165 [main] - APP/webroot/index.php, line 108
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$viewFile = '/home/summarytime/summurai.com/app/View/Article/landing.ctp' $dataForView = array( 'data' => array( 'MyItem' => array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. 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=> array( 'id' => '7208', 'user_master_id' => '33', 'guid' => null, 'posted_by' => '100', 'voice_by' => '271', 'post_market_id' => '5348', 'image_url' => 'https://media.nngroup.com/media/editor/2017/08/28/prs-prw-heat.png', 'title' => 'Flat UI Elements Attract Less Attention and Cause Uncertainty', 'other_title' => '', 'description' => 'Summary: Flat interfaces often use weak signifiers. In an eyetracking experiment comparing different kinds of clickability clues, UIs with weak signifiers required more user effort than strong ones. The popularity of flat design in digital interfaces has coincided with a scarcity of signifiers. Many modern UIs have ripped out the perceptible cues that users rely on to understand what is clickable. Using eyetracking equipment to track and visualize users’ eye movements across interfaces, we investigated how strong clickability signifiers (traditional clues such as underlined, blue text or a glossy 3D button) and weak or absent signifiers (for example, linked text styled as static text or a ghost button) impact the ways users process and understand web pages. There are many factors that influence a user’s interaction with an interface. To directly investigate the differences between traditional, weak, and absent signifiers in the visual treatments of interactive elements, we needed to remove any confounding variables. We took 9 web pages from live websites and modified them to create two nearly identical versions of each page, with the same layout, content and visual style. The two versions differed only in the use of strong, weak, or absent signifiers for interactive elements (buttons, links, tabs, sliders). In some cases, that meant taking an already flat page and adding shadows, gradients, and text treatments to add depth and increase the strength of the clickability signifiers. In other cases, we took a page that already had strong, traditional signifiers, and we created an ultraflat version. We were careful that the modifications we provided were reasonable and realistic. We chose these interfaces as study materials because, for the most part, they’re decent designs that are representative of the better sites on the web. We set out to isolate the differences between signifier-rich and signifier-poor interfaces, not to evaluate the design of these sites. For each of the stimuli pairs, we wrote a short task to direct the user’s attention to a specific interactive element on the page. For example, for the hotel site, the task was: “You will see a page from a hotel website. Reserve this hotel room. Please tell us when you have found where you would click.†We conducted a quantitative experiment using eyetracking equipment and a desktop computer. We recruited 71 general web-users to participate in the experiment. Each participant was presented with one version of the 9 sites and given the corresponding task for that page. As soon as participants saw the target UI element that they wanted to click to complete the task, they said “I found it†and stopped. We tracked the eye movements of the participants as they were performing these tasks. We measured the number of fixations on each page, as well as the task time. (A fixation happens when the gaze lingers on a spot of interest on the page). Both of these measures reflect user effort: the more fixations and time spent doing the task, the higher the processing effort, and the more difficult the task. In addition, we created heatmap visualizations by aggregating the areas that participants looked at the most on the pages. The study was conducted as a between-subjects design — each participant saw only one version of each page. We randomized assignment to either version of each page, as well as the order in which participants saw the pages. (See our course on Measuring User Experience for more on designing quantitative studies.) All participants began with a practice task on the same stimulus to make sure they understood the instructions before they began the real tasks. Especially with quantitative studies like this one, it’s a good idea to use a practice task to ensure that participants understand the instructions. (It’s also best to conduct pilot testing before even starting the real study to iron out any methodology issues.) This experiment was not a usability study. Our goal was to see how users processed individual page designs, and how easily they could find the target elements, not to identify usability problems in the designs. (Usability studies of live sites rarely involve a single page on a website; most often, people are asked to navigate through an entire site to accomplish a goal.) This means that, when looking at a design with weak signifiers, users spent more time looking at the page, and they had to look at more elements on the page. Since this experiment used targeted findability tasks, more time and effort spent looking around the page are not good. These findings don’t mean that users were more “engaged†with the pages. Instead, they suggest that participants struggled to locate the element they wanted, or weren’t confident when they first saw it. 22% longer task time for the weak-signifier designs may seem terrible. But remember that our metrics reflect time spent while looking for where to click. The tasks we measured were very specific and represent just a small component of real web tasks. In regular web use, people spend more time on other task aspects such as reading the information on a page. When you add in these other aspects, the slowdown for a full task (such as shopping for a new pair of shoes) would often be less than the 22% we measured. On the other hand, the increased click uncertainty in weak-signifier designs is likely to sometimes cause people to click the wrong thing occasionally — something we didn’t measure in this study. Recovering from incorrect clicks can easily consume more time, especially since users don’t always realize their mistake immediately. Beyond the actual time wasted, the emotional impact of increased uncertainty and decreased empowerment is an example of how mediocre experience design can hurt brand perception. Heatmaps are quantitative visualizations that aggregate the number and duration of eye fixations on a stimulus (the UI). They can be created from the gaze data of many participants, as long as they all look at the same stimulus with the same task. Heatmaps based on all participants’ data convey important information about the page areas that are relevant for the task (provided that the number of participants is high enough). In our color coding, the red areas were those which received the most and longest fixations. Orange, yellow, and purple areas received less attention, and areas with no overlay color were not viewed by any of the test participants. When comparing the two versions of each page pair (strong signifiers vs. weak signifiers) we found that the pages fell into two groups: those with nearly identical user gaze patterns for the two versions, and those with different user gaze patterns (as indicated by the heatmaps). Of the pages we tested, 6 out of the 9 pairs had different user gaze patterns. With the exception of the signifier strength, we eliminated all other variations in page design within a given pair, so we can conclude that the signifiers changed how users processed the page in their task. One major overarching difference emerged when comparing the 6 pairs of page. The weak-signifier versions of the pages resulted in a broader distribution of fixations across the page: people had to look around more. This result reinforced our findings that weak-signifier pages required more fixations and more time than strong-signifier ones. This difference suggests that participants had to consider more potentially interactive elements in the weak-signifier versions. Because the target elements (links, tabs, buttons, sliders) lacked strong, traditional signifiers, they didn’t have the same power to draw the participants’ attention or confidence. In many cases, participants fixated on the target element, but then moved on to other elements on the page — presumably because they hadn’t immediately recognized it as the solution to the task. Of the six sites, one page pair displayed a particularly dramatic difference in the heatmaps. The original interface used to create the stimuli was a zig-zag layout from a fine-jewelry website. The page layout featured three sections, each with a heading, short paragraph of text, product image, and text link. To create the strong version of the page, the text links were given a traditional link treatment: blue color and underlined text. To create the weak version, we took inspiration from a common tactic of ultraflat designs, and made the text links identical to the static text. The placement of the text links (below the paragraphs) was left the same in both stimuli. The weak-signifier version showed red areas on the primary navigation, as well as on the 3 Year: Pearl heading. In contrast, the target link received most fixations in the strong-signifier variant. When we inspected the individual-participant data, we discovered that many users (9 of the 24 participants) who saw the weak signifier version stopped at the subheading, and never looked at the text link. They believed they could click on that subheading to reach the pearl jewelry and didn’t continue down to see the link. In the strong signifier version, 86% (25 out of 29) participants first fixated on the heading, and then moved to the Shop Pearl target link. In the weak version, only 50% (12 out of 24) followed this pattern. (This difference is statistically significant; p < 0.005.) The links styled like static text didn’t draw users’ eyes down from the subheading, while the strong, traditionally styled links did. 3 of the 9 sites resulted in no differences in the gaze patterns between strong and weak signifiers. Why are these three page pairs nearly identical, while the other six pairs showed substantial differences? One of the stimulus pairs had in-line text links as the target element: light purple, nonunderlined links vs. traditional blue, underlined links. In this pair, the weak-stimulus heatmap only showed a very slightly wider distribution of fixations on the paragraph containing the target link. This suggests that the low-contrast presentation of in-line links, compared with regular text, may be a slightly weaker signifier, but not perceptibly so. In the case of Brilliant Earth, the lack of contrasting color for links, however, had a big impact, as shown above. We can speculate that there is a contrast continuum: the stronger the color contrast between links and surrounding text, the higher the chance that users will recognize them. If we had used a light grey highlight color in the weak version of Ally Bank, we might expect to the see a more dramatic difference in the gaze patterns. As long as in-line text links are presented in a contrasting color, users will recognize their purpose, even without an underline. The other two stimulus pairs with no discernible heatmap differences between the weak and strong versions had some traits in common, when compared to the rest of the stimuli: We want our users to have experiences that are easy, seamless, and enjoyable. Users need to be able to look at a page, and understand their options immediately. They need to be able to glance at what they’re looking for and know instantly, “Yep, that’s it.†The problem is not that users never see a weakly signified UI element. It’s that even when they do see the weak element, they don’t feel confident that it is what they want, so they keep looking around the page. Designs with weak clickability signifiers waste users’ time: people need to look at more UI elements and spend more time on the page, as captured by heatmaps, average counts of fixations, and average task time. These findings all suggest that with weak signifiers, users are getting less of that feeling of empowerment and decisiveness. They’re experiencing click uncertainty. These findings also confirm that flat or flat-ish designs can work better in certain conditions than others. As we saw in this experiment, the potential negative consequences of weak signifiers are diminished when the site has a low information density, traditional or consistent layout, and places important interactive elements where they stand out from surrounding elements. Ideally, to avoid click uncertainty, all three of those criteria should be met, not just one or two. A site with a substantial amount of potentially overwhelming content, or radically new page layouts or patterns, should proceed with caution when adopting an ultraflat design. These characteristics echo our recommendations for adopting a flat UI without damaging the interaction on your site. Notice that those characteristics are also just good, basic UX design best practice: visual simplicity, external consistency, clear visual hierarchy, and contrast. In general, if you have an experienced UX team that cares about user research, you’ll do better with a flat design than other product teams that don’t. If your designs are already strong, any potential weakness introduced by flat design will be mitigated. If you’re conducting regular user research, any mistakes you make in implementing a flat UI will be identified and corrected. To get comparable, interpretable results from this experiment, we had to ask users to do very focused, short tasks on a single page. In real life, users don’t do tasks that way. They arrive to your site, and don’t know who you are or what you do. They navigate to pages, and don’t know for sure that they’ll find what they’re looking for there. They explore offerings and options. Remember that there’s a difference between findability and discoverability. Strong signifiers are helpful in situations where users care about finding something specific. They’re absolutely crucial in situations where you care that users discover a feature that they didn’t know existed.', 'summary' => '<p>A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.</p>', 'original_summary_text' => '', 'summy_type' => '0', 'url' => 'https://www.nngroup.com/articles/flat-ui-less-attention-cause-uncertainty/', 'ignore_all_url_param' => '0', 'ignore_utm_param' => '1', 'slug' => 'flat-ui-elements-attract-less-attention-and-cause-uncertainty', 'property_category_id' => '2', 'client_category_id' => '0', 'summy_tags' => '', 'plan_master_id' => '1', 'site_name' => 'Nngroup', 'other_site_name' => '', 'author_name' => 'Kate Meyer ', 'publication_date' => '03/09/2017', 'price' => '0.00', 'is_voice_over' => '1', 'original_voice_file' => '7208.mp3', 'voice_file' => '7208.mp3', 'video_file' => '', 'credit_bucket_master_id' => '1', 'credits' => '2', 'status' => '2', 'voice_status' => '3', 'is_approved' => '1', 'award' => '3.00', 'is_read' => '1', 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=> null, 'from_embed_playlist' => null, 'status' => null, 'is_blocked' => null, 'is_deleted' => null, 'created' => null, 'modified' => null ), 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $summy_lang = array( 'Language' => array( 'id' => '1', 'title' => 'English', 'short_code' => 'en', 'direction' => '0', 'flag' => 'https://dojo.summurai.com/img/langflag/big-eng-flg.jpg', 'status' => true, 'is_blocked' => false, 'is_deleted' => false, 'created' => '2017-09-15 03:00:00', 'modified' => '2017-09-15 03:00:00' ) ) $brand_details = array() $keywords = 'page,weak signifiers,users,user gaze patterns,participants,task,text links,interactive elements,fixations,different user gaze,task time,in-line text links,clickability signifiers,weak version,absent signifiers,strong clickability signifiers,static text,weak signifier version,individual page designs,weak clickability signifiers,flat design,longer task time,click uncertainty,ways users process,target link,single page,pages,page pair,average task time,strong signifier version,radically new page,identical user gaze,traditional signifiers,target UI element,practice task,eye movements,nearly identical versions,strong signifiers,flat page,web pages,specific interactive element,weak-signifier designs,target elements,real web tasks,mediocre experience design,red areas,traditional link treatment,potentially interactive elements,Pearl target link,flat UI' $board = array( 'SummyboxBoard' => array( 'id' => '61', 'channel_secret' => '', 'user_master_id' => '1752', 'client_id' => '25', 'summyboard_show_id' => '0', 'title' => 'USER EXPERIENCE FOMO', 'slug' => 'user-experience-fomo', 'language_id' => '1', 'board_title' => '', 'board_sub_title' => '', 'show_board_titles' => '0', 'privacy_type' => '0', 'visibility_type' => '1', 'location_id' => '104', 'channel_access' => '0', 'link_privacy_policy' => 'https://summurai.com/Blog/summurai-privacy-policy/', 'board_top_logo' => '', 'is_subscribe_update' => '0', 'is_sendto_phone' => '0', 'is_feedback_form' => '0', 'primary_color' => '#fd0060', 'primary_darker_color' => '#ff0069', 'secendary_color' => '#FFFFFF', 'color_opacity' => '1', 'cover_image' => 'https://dojo.summurai.com/img/uploads/boardimages/5d0fc784b7b02_uxcoverimg.jpg', 'mobile_cover_image' => 'https://dojo.summurai.com/img/images/Japan-SummyBoard-MobileCover.jpg', 'cover_image_webp' => '', 'mobile_cover_image_webp' => '', 'show_webp_cover' => '0', 'cover_title' => 'DON'T MISS A UX THING', 'font_size' => '45', 'font_size_mobile' => '36', 'cover_sub_title' => 'If you feel like there's just too much to know and can't keep the pace, join us. We'll make sure you don't miss a UX thing.', 'board_section_title' => '<X> items are waiting for you', 'show_board_section_item_count' => '1', 'show_subscription_form' => '0', 'show_playter_box' => '0', 'show_curated_by' => '0', 'show_footer_cta' => '1', 'footer_icon' => '0', 'footer_title' => '', 'footer_sub_title' => '', 'call_to_action_title1' => '', 'call_to_action_url1' => '', 'show_call_to_action2' => '0', 'call_to_action_title2' => '', 'call_to_action_url2' => '', 'player_type' => '0', 'allow_mini_max' => '0', 'cover_style' => '0', 'default_view_style' => '2', 'show_featured_element' => '1', 'show_about_brand_box' => '1', 'show_brand_box_type' => '0', 'brand_title' => 'Brought to you by', 'brand_secondary_text' => 'The Summurai platform and services are all about engaging your audience with audio summary feeds and branded audio playlists, allowing your audience to know more with less effort and offering your brand the chance to stand out.', 'show_brand_box_company' => '1', 'brand_image' => '', 'brand_image_layout' => '2', 'brand_link_name' => 'Visit homepage', 'brand_link_url' => 'http://www.summurai.com', 'show_feedback_box' => '1', 'show_disquss_element' => '0', 'show_full_page_item' => '1', 'show_brand_name' => '1', 'show_brand_link' => '1', 'show_brand_link_type' => '1', 'show_logo_element' => '1', 'show_logo_type' => '1', 'is_send_mobile' => '1', 'send_to_mobile' => '0', 'show_alternate_footer' => '0', 'footer_color' => '#2D383F', 'footer_text_color' => '0', 'alternate_footer_type' => '0', 'alternate_footer_logo' => '', 'show_user_element' => '0', 'show_election_panel' => '0', 'visit_count' => '0', 'mobile_visit_count' => '656', 'unique_count' => '0', 'mobile_unique_count' => '379', 'registration_require' => '0', 'registration_trigger' => '2', 'pre_registration_summy' => '1', 'registration_type' => '0', 'board_template_type' => '0', 'is_allow_playlist' => '0', 'allow_embed_playlist' => '0', 'show_disqus_comments' => '0', 'show_cookies_message' => '0', 'show_web_notification' => '0', 'is_exit_popup' => '0', 'is_allow_map' => '0', 'show_categories' => '0', 'category_title' => '', 'show_category_on_mobile' => '0', 'show_presenter_profile_box' => '0', 'presenter_sec_title' => 'Presented by', 'presenter_name' => '', 'presenter_title' => '', 'presenter_image' => '', 'presenter_image_layout' => '0', 'presenter_btn_text' => '', 'presenter_btn_url' => '', 'show_presenter_btn' => '0', 'show_qrcode' => '1', 'qrcode_title' => 'Listen on the go', 'qrcode_secondary_text' => 'Scan the code with your smartphone to listen later', 'is_allow_changing_view' => '1', 'show_summyboard_search' => '1', 'show_read_indication' => '1', 'show_tags' => '0', 'show_faces' => '0', 'show_multi_lang' => '0', 'multi_lang_default' => '0', 'is_summy_motivation' => '0', 'qrcode_pos' => '1', 'categories_pos' => '2', 'brand_box_pos' => '3', 'feedback_box_pos' => '4', 'presenter_box_pos' => '5', 'credits_box_pos' => '6', 'is_allow_sharing' => '1', 'is_allow_embed' => '1', 'show_sorting_filter' => '0', 'board_social_image' => '', 'post_social_title' => '', 'post_social_sub_title' => '', 'show_register_button' => '0', 'manage_rss' => '0', 'host_sub_domain' => '0', 'host_sub_domain_url' => '', 'main_call_to_action_type' => '0', 'is_extension' => '1', 'welcome_email_template_name' => '', 'welcome_email_template_subject' => '', 'welcome_email_template_message' => '', 'welcome_email_template_item_numbers' => '', 'welcome_text_message' => '', 'update_email_template_name' => '', 'update_email_template_subject' => 'Your Weekly update from UXFOMO', 'update_email_template_message' => 'Another week past and it's time for the next batch of UX updates, straight to your ears.', 'update_email_template_item_numbers' => '350, 351, 352', 'update_text_message' => '', 'send_welcome_email' => '0', 'show_summurai_credit_in_footer' => '1', 'seo_title' => 'Summurai | DON'T MISS A UX THING', 'seo_meta_description' => 'If you feel like there's just too much to know and can't keep the pace, join us. We'll make sure you don't miss a UX thing.', 'seo_meta_keywords' => '', 'is_seo_robot_index' => '1', 'is_seo_robot_follow' => '1', 'link_terms_use' => 'https://summurai.com/Blog/summurai-terms-use/', 'board_fabicon' => '', 'board_rss_feed_url' => '', 'is_call_to_action' => '0', 'call_to_action_button_text' => '', 'call_to_action_button_url' => '<X> Summies are waiting for you', 'is_call_to_action_desktop_cta' => '0', 'is_call_to_action_desktop_summy_panel' => '0', 'is_call_to_action_mobile_cta' => '0', 'is_call_to_action_mobile_summy_page' => '0', 'call_to_action_desktop_cta_stats' => '0', 'call_to_action_desktop_summy_panel_stats' => '0', 'call_to_action_mobile_cta_stats' => '0', 'call_to_action_mobile_summy_page_stats' => '0', 'call_to_action_app_btn_text' => 'Get the app', 'call_to_action_app_iphone_link' => '', 'call_to_action_app_android_link' => '', 'call_to_action_navigation_latitude' => '', 'call_to_action_navigation_longitude' => '', 'call_to_action_navigation_googlemaps_link' => '', 'call_to_action_phone' => '', 'call_to_action_phone_button_text' => 'Call Now', 'radio_show_id' => '0', 'radio_show_title' => '', 'radio_show_subtitle' => '', 'radio_show_desctiption' => '', 'radio_show_image' => '', 'radio_show_rss_source' => '', 'radio_show_rss_head' => '', 'radio_channel_type' => '0', 'radio_auto_loading' => '0', 'radio_load_type' => '0', 'radio_load_content' => '0', 'radio_mark_full_show' => '0', 'radio_show_length' => '0', 'is_enable_password' => '0', 'password_value' => 'summarytime', 'arrange_by' => 'DESC', 'ordering' => '3', 'is_sunday' => '0', 'is_monday' => '0', 'is_tuesday' => '0', 'is_wednesday' => '0', 'is_thrusday' => '0', 'is_friday' => '0', 'is_saterday' => '0', 'only_show' => '0', 'duplicate_show_id' => '', 'feedback_sec_title' => 'What do you think?', 'feedback_intro_text' => 'We’d love to hear your thoughts.', 'feedback_btn_text' => 'Send feedback', 'show_feedback_rating_section' => '1', 'feedback_rating_head' => '', 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=> '', 'rss_cover_image' => '', 'rss_export_link' => 'https://summurai.com/rss/user-experience-fomo', 'hide_embed_iframe_header' => '0', 'hide_embed_iframe_footer' => '0', 'allow_export_text' => '0', 'allow_export_rtf' => '0', 'allow_export_audio' => '0', 'allow_export_image' => '0', 'allow_export_csv' => '0', 'export_alt_head_foot' => '0', 'export_hide_powerby' => '0', 'export_alt_code' => '', 'crm_type' => '0', 'hubspot_access_token' => '', 'hubspot_client_secret' => '', 'show_reg_company_name' => '1', 'show_reg_job_title' => '1', 'show_reg_scheduling' => '0', 'reg_consent_text' => '', 'from_app' => '0', 'from_embed_playlist' => '0', 'is_blocked' => '0', 'is_deleted' => '0', 'active_date' => '2023-09-27 20:47:48', 'created' => '2019-06-22 09:37:01', 'modified' => '2024-04-19 02:36:33' ) ) $lead_id = (int) 0 $title_for_layout = 'Summy | Flat UI Elements Attract Less Attention and Cause Uncertainty' $permissions = null $logedin_user_details = null $item_title = 'Flat UI Elements Attract Less Attention and Cause Uncertainty' $item_summary = 'A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.' $item_site_name = 'Nngroup' $voice_url = 'https://summarytime.com/uploads/voice_file/7208.mp3' $route_show_url = 'https://summurai.com/' $client_website = 'href="javascript:;"' $show_logo = 'style="display: none;"' $show_name = 'style="display: none;"'include - APP/View/Article/landing.ctp, line 374 View::_evaluate() - CORE/Cake/View/View.php, line 948 View::_render() - CORE/Cake/View/View.php, line 910 View::render() - CORE/Cake/View/View.php, line 471 Controller::render() - CORE/Cake/Controller/Controller.php, line 954 Dispatcher::_invoke() - CORE/Cake/Routing/Dispatcher.php, line 198 Dispatcher::dispatch() - CORE/Cake/Routing/Dispatcher.php, line 165 [main] - APP/webroot/index.php, line 108
A study was conducted to test eye-tracking and comparing different kinds of click-ability cues. The results show that week signifiers have an impact on the way that users comprehend web pages. 71 General web users were recruited to take part in the experiment. Nine different sites were tested. A "strong" and a "weak" version of the same sight were compared side by side. The participants were asked to find a specific UI element that was meant to be clicked on. Once found they would call out that they found it and then stop. During the study, the participants eye movements were tracked. The two key components that were measured were "fixations": when the eyes linger on one area of interest, and the amount of time it took to complete a task. Essentially, it took longer to find the click-able parts of the weaker designs this increases the likelihood that people click on something other than what they were looking for. Likewise, there were more fixations associated with the weaker design. In general terms, this means that users were less engaged with the web page. Less engagement means bad news. This article offers a significant amount of visual data representations to back up the research that was conducted. The fastest way to summarize this article would be to say that: the weaker the clickability, the more time is wasted for the user and the more uncertain users feel; this leads to depleted traffic over time.