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Improving usability for video analysis using gaze-based interaction

: Hild, Jutta; Peinsipp-Byma, Elisabeth; Klaus, Edmund

Postprint urn:nbn:de:0011-n-2124830 (415 KByte PDF)
MD5 Fingerprint: 160a4da833aeb5911df3f89d0168e681
Copyright 2012 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Erstellt am: 4.9.2012

Self, Donnie (Ed.) ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Full motion video (FMV) workflows and technologies for intelligence, surveillance, and reconnaissance (ISR) and situational awareness : 23 - 24 April 2012, Baltimore, Maryland, United States
Bellingham, WA: SPIE, 2012 (Proceedings of SPIE 8386)
ISBN: 978-0-8194-9064-3
Paper 838605, 10 S.
Conference "Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness" <2012, Baltimore/Md.>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
full motion video analysis; human-computer interaction; input devices and strategy; eye tracking; moving target selection; gaze behavior analysis

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.