Identification of Temporally Varying Areas of Interest in Long-Duration Eye-Tracking Data Sets.

IEEE Transactions on Visualization and Computer Graphics(2019)

引用 16|浏览32
暂无评分
摘要
Eye-tracking has become an invaluable tool for the analysis of working practices in many technological fields of activity. Typically studies focus on short tasks and use static expected areas of interest (AoI) in the display to explore subjects' behaviour, making the analyst's task quite straightforward. In long-duration studies, where the observations may last several hours over a complete work s...
更多
查看译文
关键词
Visualization,Task analysis,Monitoring,Labeling,Microsoft Windows,Merging,Vehicles
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要