Enhancing UX Design Through Eye-Tracking and Image Processing: Practical Insights and Applications
In 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...
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2025
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my.uniten.dspace-368582025-03-03T15:45:15Z Enhancing UX Design Through Eye-Tracking and Image Processing: Practical Insights and Applications Baharum A. Ismail R. Halamy S. Rahim E.A. Noor N.A.M. Deris F.D. 55916175500 36080877900 57197830951 57196415680 54791122900 56285335200 Behavioral research Gluing Human computer interaction Digital age Eye images Eye-tracking Gaze fixation Images processing Interface designs User behaviors User interaction Users' experiences Visual engagement Eye movements In 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. Final 2025-03-03T07:45:15Z 2025-03-03T07:45:15Z 2024 Conference paper 10.1109/PLATCON63925.2024.10830718 2-s2.0-85217360164 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217360164&doi=10.1109%2fPLATCON63925.2024.10830718&partnerID=40&md5=ee02e0fb290de00864d5a20804a3128f https://irepository.uniten.edu.my/handle/123456789/36858 1 4 Institute of Electrical and Electronics Engineers Inc. Scopus |
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Behavioral research Gluing Human computer interaction Digital age Eye images Eye-tracking Gaze fixation Images processing Interface designs User behaviors User interaction Users' experiences Visual engagement Eye movements |
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Behavioral research Gluing Human computer interaction Digital age Eye images Eye-tracking Gaze fixation Images processing Interface designs User behaviors User interaction Users' experiences Visual engagement Eye movements Baharum A. Ismail R. Halamy S. Rahim E.A. Noor N.A.M. Deris F.D. Enhancing UX Design Through Eye-Tracking and Image Processing: Practical Insights and Applications |
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In 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. |
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55916175500 |
| author_facet |
55916175500 Baharum A. Ismail R. Halamy S. Rahim E.A. Noor N.A.M. Deris F.D. |
| format |
Conference paper |
| author |
Baharum A. Ismail R. Halamy S. Rahim E.A. Noor N.A.M. Deris F.D. |
| author_sort |
Baharum A. |
| title |
Enhancing UX Design Through Eye-Tracking and Image Processing: Practical Insights and Applications |
| title_short |
Enhancing UX Design Through Eye-Tracking and Image Processing: Practical Insights and Applications |
| title_full |
Enhancing UX Design Through Eye-Tracking and Image Processing: Practical Insights and Applications |
| title_fullStr |
Enhancing UX Design Through Eye-Tracking and Image Processing: Practical Insights and Applications |
| title_full_unstemmed |
Enhancing UX Design Through Eye-Tracking and Image Processing: Practical Insights and Applications |
| title_sort |
enhancing ux design through eye-tracking and image processing: practical insights and applications |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2025 |
| _version_ |
1825816247447584768 |
| score |
13.244413 |