眼动数据可视化综述

A Survey on Visualization for Eye Tracking Data

随着眼动跟踪技术在实际应用中的普及,大量眼动数据需要通过合理的可视化方式进行处理与分析,在这种背景下,眼动数据可视化在基础理论、方法和应用研究等方面得到了快速发展.文中总结了眼动数据的预处理与参数化方法,并在此基础上介绍了眼动数据可视化的基本框架和4种主要可视化方法:扫描路径法、热区图法、感兴趣区法和三维空间法;进而介绍了眼动数据可视化在用户界面可用性评估等方面的应用实例.最后对眼动数据可视化未来的研究趋势进行了展望.

With the emergence of eye tracking applications, massive eye tracking data require further processing and analyzing through the appropriate visualization. In this context, researchers make developments on the fundamental theories, approaches and applications for eye tracking data visualization. We summarize the approaches to pre-treatment and parameterization for eye tracking data, and then introduce the framework of the visualization, and especially depict four kinds of visualization methods, scanpath, heatmap, area of interest and three dimensions. Additionally, we describe some application cases about eye tracking data visualization, such as usability evaluation for user interface. At last, we give an outlook to future research directions of eye tracking data visualization.