TY - GEN
T1 - Enhancing UX Design Through Eye-Tracking and Image Processing
T2 - 10th International Conference on Platform Technology and Service, PlatCon 2024
AU - Baharum, Aslina
AU - Ismail, Rozita
AU - Halamy, Suhaida
AU - Rahim, Emelia Abdul
AU - Noor, Noorsidi Aizuddin Mat
AU - Deris, Farhana Diana
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Gaze fixation
KW - Interface design
KW - User behaviour
KW - User interaction
KW - UX
KW - Visual engagement
UR - https://www.scopus.com/pages/publications/85217360164
U2 - 10.1109/PLATCON63925.2024.10830718
DO - 10.1109/PLATCON63925.2024.10830718
M3 - Conference contribution
AN - SCOPUS:85217360164
T3 - 2024 International Conference on Platform Technology and Service, PlatCon 2024 - Proceedings
SP - 1
EP - 4
BT - 2024 International Conference on Platform Technology and Service, PlatCon 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 26 August 2024 through 28 August 2024
ER -