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Enhancing UX Design Through Eye-Tracking and Image Processing: Practical Insights and Applications

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dc.citedby0
dc.contributor.authorBaharum A.en_US
dc.contributor.authorIsmail R.en_US
dc.contributor.authorHalamy S.en_US
dc.contributor.authorRahim E.A.en_US
dc.contributor.authorNoor N.A.M.en_US
dc.contributor.authorDeris F.D.en_US
dc.contributor.authorid55916175500en_US
dc.contributor.authorid36080877900en_US
dc.contributor.authorid57197830951en_US
dc.contributor.authorid57196415680en_US
dc.contributor.authorid54791122900en_US
dc.contributor.authorid56285335200en_US
dc.date.accessioned2025-03-03T07:45:15Z
dc.date.available2025-03-03T07:45:15Z
dc.date.issued2024
dc.description.abstractIn the digital age, optimizing user experience (UX) is paramount for the success of various applications and interfaces. Eye-tracking, a method used to monitor and analyze eye movements, has emerged as a powerful tool in UX research. This study investigates the intersection of eye-tracking and image processing, focusing on how insights derived from eye-tracking data can enhance UX design. Through a series of case studies, this research explores the practical applications of eye-tracking in improving user interaction with image-based interfaces. By analyzing user attention patterns, gaze fixation durations, and visual engagement metrics, the study uncovers valuable insights into user behaviour and preferences. These insights inform design decisions related to interface layout, content placement, and visual hierarchy, ultimately leading to more intuitive and engaging user experiences. The findings from this study provide practical guidelines and best practices for integrating eye tracking into the UX design process, offering valuable insights for designers, developers, and researchers seeking to optimize user interaction with image-based applications and interfaces. ? 2024 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/PLATCON63925.2024.10830718
dc.identifier.epage4
dc.identifier.scopus2-s2.0-85217360164
dc.identifier.spage1
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85217360164&doi=10.1109%2fPLATCON63925.2024.10830718&partnerID=40&md5=ee02e0fb290de00864d5a20804a3128f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36858
dc.pagecount3
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2024 International Conference on Platform Technology and Service, PlatCon 2024 - Proceedings
dc.subjectBehavioral research
dc.subjectGluing
dc.subjectHuman computer interaction
dc.subjectDigital age
dc.subjectEye images
dc.subjectEye-tracking
dc.subjectGaze fixation
dc.subjectImages processing
dc.subjectInterface designs
dc.subjectUser behaviors
dc.subjectUser interaction
dc.subjectUsers' experiences
dc.subjectVisual engagement
dc.subjectEye movements
dc.titleEnhancing UX Design Through Eye-Tracking and Image Processing: Practical Insights and Applicationsen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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