Plaisant, C.
, Grinstein, G.
, Scholtz, J.
, Whiting, M.
, O'Connell, T.
, Laskowski, S.
, Chien, T.
, Tat, A.
, Wright, W.
, Gorg, C.
, Liu, Z.
, Parekh, N.
, Singhal, K.
and Stasko, J.
(2008),
Evaluating Visual Analytics: The 2007 Visual Analytics Science and Technology Symposium Contest, IEEE Computer Graphics and Applications, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=51341
(Accessed April 18, 2024)
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Evaluating Visual Analytics: The 2007 Visual Analytics Science and Technology Symposium Contest
Published
Author(s)
Catherine Plaisant, Georges Grinstein, Jean Scholtz, Mark Whiting, , , T Chien, A Tat, W Wright, C Gorg, Z Liu, N Parekh, K Singhal, John Stasko
Abstract
The second Visual Analytics Science and Technology (VAST) contest?s data consisted of a heterogeneous synthetic collection of news articles with additional supporting files and contained a scenario with embedded threats that provided ground truth. Using visual analytic tools, participants sought evidence of illegal and terrorist activities. We describe the contest and the evaluation methodology. We report results and lessons learned.Citation
IEEE Computer Graphics and Applications
Pub Type
Journals
Download Paper
Keywords
contest, evaluation, information/knowledge management, metrics, sense making, visual analytics
Citation
Created January 13, 2008, Updated October 12, 2021