{"id":287,"date":"2024-07-05T05:47:32","date_gmt":"2024-07-05T05:47:32","guid":{"rendered":"https:\/\/metric.qcri.org\/blog\/?p=287"},"modified":"2025-08-13T10:01:05","modified_gmt":"2025-08-13T10:01:05","slug":"eye-tracking-beyond-conventional-uses","status":"publish","type":"post","link":"https:\/\/metric.qcri.org\/blog\/2024\/07\/05\/eye-tracking-beyond-conventional-uses\/","title":{"rendered":"Eye Tracking Beyond Conventional Uses"},"content":{"rendered":"\n

Eye tracking is a versatile technology with applications across various fields for its ability to provide detailed insights into visual attention and behavior. With more and more organizations gaining interest in this technology\u2019s abilities, there has been a rise in numerous offline and online eye-tracking tools such as METRIC. User experience (UX) and web design, marketing and advertising, cognitive research, human-computer interaction (HCI), and even automotive and aviation industries, where eye tracking is used for driver monitoring and pilot training, are just a few sectors in which this impactful technology plays a big role. These, however, are only the more popular uses of eye tracking, but what about medicine and diagnosis?<\/p>\n\n\n\n

Medical and clinical research benefits from eye tracking in studying neurological and developmental disorders. Hamad Bin Khalifa University’s (HBKU) Qatar Biomedical Research Institute (QBRI) has advanced Autism Spectrum Disorder (ASD) research with the development of Arabic stimuli, spotlighting social attention as a key developmental parameter. The study, Unleashing research potential to extend ASD diagnostic tools beyond Qatar to the broader Arabic-speaking world<\/a>, has introduced an Arabic version of the Autism Risk Index (ARI), leveraging eye-tracking technology for early screening and diagnosis of ASD. The researchers translated and created eye-tracking stimuli tests of the ARI into Arabic, validating them on a sample of 144 children with ASD and 96 controls, which included 84 non-autistic children and 12 children with developmental delays. The ARI demonstrated reliability, effectively differentiating children with ASD from the control groups, and showed a robust correlation with parent-reported ASD symptoms, highlighting its cross-cultural validity.<\/p>\n\n\n

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\"eye-tracking
Eye Tracking Technology for Early Screening and Diagnosis of ASD [Source: OpenArt] <\/figcaption><\/figure>\n<\/div>\n\n\n

Dr. Fouad Alshaban and his team at QBRI’s Neurological Disorders Research Center adapted the methodology from previous studies at Cleveland Clinic USA, creating Arabic stimuli to elicit responses similar to those observed in original studies. The ARI aggregates gaze metrics to form an autism risk index, showcasing potential in identifying ASD across diverse populations. While the study supports the ARI’s validity in Qatar, further cross-cultural validation studies are needed. Future research will focus on clinical testing, comparing the ARI’s accuracy to established tools like the Autism Diagnostic Observation Schedule-2nd edition (ADOS-2), and formulating guidelines for its use in clinical settings. Dr. Alshaban emphasized the importance of these efforts for more effective ASD diagnostic methodologies across cultures.<\/p>\n\n\n\n

Try out METRIC<\/a> now!<\/p>\n\n\n\n

Read more research about eye tracking!<\/strong><\/p>\n\n\n\n

Azem, J. Y., Salminen, J., Jung, S.G., and Jansen, B. J. (<\/strong>2023) Measuring Engagement Through Remote Interactions of Customers: Introducing METRIC<\/a>, 2023 International Symposium on Networks, Computers and Communications (ISNCC), Doha, Qatar, 2023, pp. 1-7, doi: 10.1109\/ISNCC58260.2023.10323669.<\/p>\n\n\n\n

Salminen, J., Jansen, B. J., An, J., Jung, S.G., Nielsen, L., and Kwak, H. (2018) Fixation and Confusion \u2013 Investigating Eye-tracking Participants\u2019 Exposure to Information in Personas<\/a>. ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR2018), New Brunswick, New Jersey, USA, 11-15 March. <\/p>\n\n\n\n

Salminen, J., Nielsen, L., An, J., Jung, S.G., Kwak, H., and Jansen, B. J. (2018) Is More Better?: Impact of Multiple Photos on Perception of Persona Profiles<\/a>. ACM CHI Conference on Human Factors in Computing Systems (CHI2018), Montr\u00e9al, Canada, 21-26 April, Paper No. 317.<\/p>\n","protected":false},"excerpt":{"rendered":"

Eye tracking is a versatile technology with applications across various fields for its ability to provide detailed insights into visual attention and behavior. With more and more organizations gaining interest in this technology\u2019s abilities, there has been a rise in numerous offline and online eye-tracking tools such as METRIC. User experience (UX) and web design, … Read more<\/a><\/p>\n","protected":false},"author":10,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7,42,5],"tags":[44,31,53,41],"class_list":["post-287","post","type-post","status-publish","format-standard","hentry","category-analytics","category-eye-tracking","category-user-study","tag-academia","tag-eye-tracking","tag-qbri","tag-research"],"jetpack_featured_media_url":"","jetpack-related-posts":[{"id":188,"url":"https:\/\/metric.qcri.org\/blog\/2024\/06\/11\/spyware-deconstructing-3-myths-about-eye-tracking\/","url_meta":{"origin":287,"position":0},"title":"Spyware? Deconstructing 3 Myths About Eye Tracking","date":"June 11, 2024","format":false,"excerpt":"With the rise of the use of eye tracking in fields such as medical and psychological research, marketing research, and human-computer interaction studies, skepticism and conspiracy theories about the study method are unavoidable. So let's deconstruct some of these myths and theories. Heatmap from Survey2Persona Landing Page [Source: Metric] 1.\u2026","rel":"","context":"In "eye tracking"","img":{"alt_text":"Spyware? 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Have a need for a usability study? Need to enhance a system interface, a website, or an app? Want better customer engagement? The APG Team of the Qatar Computing Research Institute is here to help! We have a complete mobile\u2026","rel":"","context":"In "analytics"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":52,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/confusion-prediction-from-eye-tracking-data-experiments-with-machine-learning\/","url_meta":{"origin":287,"position":3},"title":"Confusion Prediction from Eye-Tracking Data: Experiments with Machine Learning","date":"July 28, 2022","format":false,"excerpt":"Predicting user confusion can help improve information presentation on websites, mobile apps, and virtual reality interfaces. One promising information source for such prediction is eye-tracking data about gaze movements on the screen. Coupled with think-aloud records, we explore if user\u2019s confusion is correlated with primarily fixation-level features. We find that\u2026","rel":"","context":"In "user study"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":123,"url":"https:\/\/metric.qcri.org\/blog\/2023\/07\/23\/using-eye-tracking-in-user-studies-unveiling-visual-attention-patterns\/","url_meta":{"origin":287,"position":4},"title":"Using Eye-Tracking in User Studies: Unveiling Visual Attention Patterns","date":"July 23, 2023","format":false,"excerpt":"Eye tracking is critical in user studies because it provides valuable insights into users\u2019 visual attention and behavior. It allows researchers to see where the users focus their attention while interacting with their digital interfaces, products, or content. 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