Advanced Gaze Analytics Dashboard

被引:0
|
作者
Jayawardena, Gavindya [1 ]
Ashok, Vikas [1 ]
Jayarathna, Sampath [1 ]
机构
[1] Old Dominion Univ, Dept Comp Sci, Norfolk, VA 23529 USA
来源
2024 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION FOR DATA SCIENCE, IRI 2024 | 2024年
基金
美国国家科学基金会;
关键词
Visual Scanning; Eye-Tracking; Visualization; EYE;
D O I
10.1109/IRI62200.2024.00034
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Eye movements can provide informative cues to understand human visual scan/search behavior and cognitive load during varying tasks. Visualizations of real-time gaze measures during tasks, provide an understanding of human behavior as the experiment is being conducted. Even though existing eye tracking analysis tools provide calculation and visualization of eye-tracking data, none of them support real-time visualizations of advanced gaze measures, such as ambient or focal processing, or eye-tracked measures of cognitive load. In this paper, we present an eye movements analytics dashboard that enables visualizations of various gaze measures, fixations, saccades, cognitive load, ambient-focal attention, and gaze transitions analysis by extracting eye movements from participants utilizing common off-the-shelf eye trackers. We validate the proposed eye movement visualizations by using two publicly available eye-tracking datasets. We showcase that, the proposed dashboard could be utilized to visualize advanced eye movement measures generated using multiple data sources.
引用
收藏
页码:114 / 119
页数:6
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