UEyes: An Eye-Tracking Dataset across User Interface Types
CoRR(2024)
摘要
Different types of user interfaces differ significantly in the number of
elements and how they are displayed. To examine how such differences affect the
way users look at UIs, we collected and analyzed a large eye-tracking-based
dataset, UEyes (62 participants, 1,980 UI screenshots, near 20K eye movement
sequences), covering four major UI types: webpage, desktop UI, mobile UI, and
poster. Furthermore, we analyze and discuss the differences in important
factors, such as color, location, and gaze direction across UI types,
individual viewing strategies and potential future directions. This position
paper is a derivative of our recent paper with a particular focus on the UEyes
dataset.
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