SEQIT: Visualizing Sequences of Interest in Eye Tracking Data

نویسنده

  • Mike Wu
چکیده

Eye tracking is becoming widely used in HCI and many other fields to study user behaviour. Eye tracking data explains user attention pattern in great details and is often large in volume. This complex nature makes analyzing it a challenge. Various visualizations have been designed to aid the data analysis, but none of them focuses sequential patterns in eye gaze, which can reveal insights in user behaviours. SEQIT is a visualization system designed for sequence analysis of eye tracking data. Using defined areas of interest (AOI), SEQIT aggregates fixations into AOI visits and presents sequences of AOI visits in a timeline. SEQIT supports comparison between multiple sequences and exploration of sequence patterns associated with user characteristics. The interface of SEQIT is cleanly designed, fast, and responsive.

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تاریخ انتشار 2014