Paper
7 May 2012 Improving usability for video analysis using gaze-based interaction
Jutta Hild, Elisabeth Peinsipp-Byma, Edmund Klaus
Author Affiliations +
Abstract
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jutta Hild, Elisabeth Peinsipp-Byma, and Edmund Klaus "Improving usability for video analysis using gaze-based interaction", Proc. SPIE 8386, Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness, 838605 (7 May 2012); https://doi.org/10.1117/12.919042
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CITATIONS
Cited by 2 scholarly publications and 1 patent.
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KEYWORDS
Video

Eye

Video surveillance

Visualization

Computing systems

Human-computer interaction

Image analysis

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