{"id":11423,"date":"2025-04-28T15:15:35","date_gmt":"2025-04-28T13:15:35","guid":{"rendered":"https:\/\/viewpointsystem.com\/?p=11423"},"modified":"2026-01-26T11:45:08","modified_gmt":"2026-01-26T10:45:08","slug":"are-you-as-focused-as-you-think-your-eyes-might-tell-a-different-story","status":"publish","type":"post","link":"https:\/\/viewpointsystem.com\/en\/blog\/are-you-as-focused-as-you-think-your-eyes-might-tell-a-different-story\/","title":{"rendered":"ARE YOU AS FOCUSED AS YOU THINK? YOUR EYES MIGHT TELL A DIFFERENT STORY"},"content":{"rendered":"\n<p><strong>But what if your eyes tell a different story?&nbsp;<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/doi.org\/10.1109\/Informatics62280.2024.10900810\"><strong>A recent study,<\/strong><\/a> using the VPS Smart Glasses with integrated eye tracking, and machine learning,\u00a0set out to understand how well our eye movements reflect our actual attention and whether we can truly assess our own mental workload. The results were clear: eye tracking can objectively detect attention performance, and is more reliable than self-assessment.\u00a0<\/p>\n\n\n\n<p>Participants wore smart glasses while performing a task designed to measure attention and concentration. Afterward, they rated how demanding the task felt using a standard self-evaluation tool (NASA-TLX). At the same time, the smart glsses tracked subtle eye behaviors such as:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How long someone focused on a specific point&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How often their gaze wandered&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How frequently they blinked&nbsp;<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-uagb-container uagb-block-29a50225 alignfull uagb-is-root-container\"><div class=\"uagb-container-inner-blocks-wrap\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"434\" src=\"https:\/\/viewpointsystem.com\/wp-content\/uploads\/2025\/04\/VPSmount_recording-1024x434.png\" alt=\"\" class=\"wp-image-11429\" style=\"width:872px;height:auto\" srcset=\"https:\/\/viewpointsystem.com\/wp-content\/uploads\/2025\/04\/VPSmount_recording-1024x434.png 1024w, https:\/\/viewpointsystem.com\/wp-content\/uploads\/2025\/04\/VPSmount_recording-300x127.png 300w, https:\/\/viewpointsystem.com\/wp-content\/uploads\/2025\/04\/VPSmount_recording-768x325.png 768w, https:\/\/viewpointsystem.com\/wp-content\/uploads\/2025\/04\/VPSmount_recording-50x21.png 50w, https:\/\/viewpointsystem.com\/wp-content\/uploads\/2025\/04\/VPSmount_recording-1600x678.png 1600w, https:\/\/viewpointsystem.com\/wp-content\/uploads\/2025\/04\/VPSmount_recording-1536x651.png 1536w, https:\/\/viewpointsystem.com\/wp-content\/uploads\/2025\/04\/VPSmount_recording.png 1690w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div><\/div><\/div>\n\n\n\n<p>The real insight came when this data was analyzed using machine learning, a way of training a computer to recognize patterns. The model learned to spot which eye movement behaviors correlated with high, average, or low attention levels.&nbsp;<\/p>\n\n\n\n<p><strong>The results were very insightful:&nbsp;<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A specific model, called a Multi-Layer Perceptron (MLP), could predict a person\u2019s attention level with more than 80% accuracy&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Meanwhile, the participants\u2019 self-assessments did not line up with their actual performance. People could not reliably judge how well they were concentrating.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>This points to a deeper insight: we often assume that putting in more mental effort automatically means we&#8217;re performing better. But that&#8217;s not always the case. The study suggests that performance might depend more on how efficiently we manage our attention, not just how hard we try. These subtle patterns of attention, often invisible to us, can be revealed through eye tracking.&nbsp;<\/p>\n\n\n\n<p>Many high-pressure roles rely on people staying sharp. But if someone is used to operating under stress or fatigue, they might appear fine and even feel fine, while their cognitive load is actually higher than perceived. This study showed that objective eye tracking data can detect these shifts in attention.&nbsp;<\/p>\n\n\n\n<p>What is also exciting is that the test used mobile smart glasses (not a lab setup), which made the approach highly practical.&nbsp;<\/p>\n\n\n\n<p>Think:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Pilots and drivers being monitored for fatigue&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Surgeons or emergency workers receiving cognitive load insights in real-time&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Personalized learning, training, or therapy adapted to actual focus levels&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>and so much more.&nbsp;<\/p>\n\n\n\n<p><strong>The study shows that:&nbsp;<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Eye tracking can reliably classify attention performance&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Self-assessed mental workload does not tell the full story&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Machine learning makes it possible to do this accurately and automatically&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>This combination of objective data and intelligent analysis opens the door to safer, more efficient, and more personalized systems, from smart vehicles to workplace safety tools.&nbsp;<\/p>\n\n\n\n<p>And it starts with something as simple as where you are looking and for how long.&nbsp;<\/p>\n\n\n\n<p><strong>Study methodology:&nbsp;<\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Participants: 20 individuals, ages 20-39&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Duration: The study ran over four months; each session took around 10-15 minutes per person&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Device: VPS19 smart glasses (mobile eye tracker)&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Data Collected: fixation count, saccade count, gaze velocity, fixation duration, blink rate and area-of-interest attention time&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Tasks: Visual attention test (d2-R) +&nbsp;<br>NASA-TLX self-assessment&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Analysis Method: Machine learning models trained on eye-tracking data&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Study conducted by: Adrian Vulpe-Grigorasi, Zvetelina Kren, Djordje Slijepcevic,&nbsp; Roman Schmied and Vanessa Leung&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Partner institutions: St. P\u00f6lten University of Applied Sciences and Viewpointsystem GmbH&nbsp;<\/li>\n\n\n\n<li>Read the full article here: <a href=\"https:\/\/doi.org\/10.1109\/Informatics62280.2024.10900810\">https:\/\/doi.org\/10.1109\/Informatics62280.2024.10900810<\/a><\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A team of researchers from St. P\u00f6lten University of Applied Sciences in collaboration with Viewpointsystem set out to answer a deceptively simple question: Can we accurately judge our own level of focus, or do our eyes offer a more accurate measure through eye tracking technology? The result? People\u2019s self-assessments did not always match reality, but their eyes did.\u00a0<\/p>\n","protected":false},"author":10,"featured_media":11460,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":true,"content-type":"","_uag_custom_page_level_css":"","footnotes":""},"categories":[13],"tags":[],"thema":[56],"coauthors":[66],"class_list":["post-11423","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","thema-research","generate-columns","tablet-grid-50","mobile-grid-100","grid-parent","grid-33"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>ARE YOU AS FOCUSED AS YOU THINK? 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