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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, Theresa O'Connell, Sharon J. Laskowski, 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

Keywords

contest, evaluation, information/knowledge management, metrics, sense making, visual analytics

Citation

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 20, 2024)
Created January 13, 2008, Updated October 12, 2021