A Visual Analytic System for Comparing Attention Patterns in Eye-Tracking Data

In this work we present a novel approach of analyzing eye tracking data through temporal analysis of fixation data. We adopt a general visual analytic system called Glyph that facilitates comparison of abstract data sequences to understand group and individual patterns. Using such a system, researchers can understand how users shift in their fixations and dwelling given different stimuli, and how different user groups differ in terms of these temporal eye tracking patterns. In this paper we discuss the system using a case study of eye tracking experiment used to investigate emotion regulation among different age groups through the study of attention to different parts of a video. Temporal patterns for such a study presents a plus on other eye tracking analysis methods.

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