A survey on visualization for eye tracking data

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.