The Community for Technology Leaders
Green Image
Issue No. 06 - November/December (2008 vol. 14)
ISSN: 1077-2626
pp: 1755-1762
David Krum , Bosch RTC
Doug Bowman , Virginia Tech
Tonya Smith-Jackson , Virginia Tech
Enylton Coalho , Bosch RTC
Sarah Peck , Virginia Tech
Yernar Abdrazakov , Virginia Tech
David Bailey , Virginia Tech
Trevor Kennedy , Virginia Tech
Yi Wang , Virginia Tech
Swethan Anand , Virginia Tech
ABSTRACT
Many interesting and promising prototypes for visualizing video data have been proposed, including those that combine videos with their spatial context (contextualized videos). However, relatively little work has investigated the fundamental design factors behind these prototypes in order to provide general design guidance. Focusing on real-time video data visualization, we evaluated two important design factors — video placement method and spatial context presentation method — through a user study. In addition, we evaluated the effect of spatial knowledge of the environment. Participants’ performance was measured through path reconstruction tasks, where the participants followed a target through simulated surveillance videos and marked the target paths on the environment model. We found that embedding videos inside the model enabled realtime strategies and led to faster performance. With the help of contextualized videos, participants not familiar with the real environment achieved similar task performance to participants that worked in that environment. We discuss design implications and provide general design recommendations for traffic and security surveillance system interfaces.
INDEX TERMS
Index Terms—contextualized videos, design factors, user study, video placement, spatial context, tracking, path reconstruction
CITATION
David Krum, Doug Bowman, Tonya Smith-Jackson, Enylton Coalho, Sarah Peck, Yernar Abdrazakov, David Bailey, Trevor Kennedy, Yi Wang, Swethan Anand, "Effects of Video Placement and Spatial Context Presentation on Path Reconstruction Tasks with Contextualized Videos", IEEE Transactions on Visualization & Computer Graphics, vol. 14, no. , pp. 1755-1762, November/December 2008, doi:10.1109/TVCG.2008.126
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