Improving usability for video analysis using gaze-based interaction

In this contribution, we propose the use of eye tracking technology to support video analysts. To reduce workload, we implemented two new interaction techniques as a substitute for mouse pointing: gaze-based selection of a video of interest from a set of video streams, and gaze-based selection of moving targets in videos. First results show that the multi-modal interaction technique gaze + key press allows the selection of fast moving objects in a more effective way. Moreover, we discuss further application possibilities like gaze behavior analysis to measure the analyst's fatigue, or analysis of the gaze behavior of expert analysts to instruct novices.