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Issue No. 02 - March/April (2008 vol. 28)
ISSN: 0272-1716
pp: 12-21
Catherine Plaisant , University of Maryland
Theresa O'Connell , National Institute of Standards and Technology
Georges Grinstein , University of Massachusetts Lowell
Kanupriya Singhal , Georgia Institute of Technology
William Wright , Oculus Info
John Stasko , Georgia Institute of Technology
Neel Parekh , Georgia Institute of Technology
Annie Tat , Oculus Info
Sharon Laskowski , National Institute of Standards and Technology
Jean Scholtz , Pacific Northwest National Laboratory
Lynn Chien , Oculus Info
Mark Whiting , Pacific Northwest National Laboratory
Zhicheng Liu , Georgia Institute of Technology
Carsten Görg , Georgia Institute of Technology
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. It also contained a scenario with embedded threats that provided ground truth. Using visual analytic tools, participants sought evidence of illegal and terrorist activities. The authors report the results and lessons learned.
INDEX TERMS
evaluation, visual analytics, human information interaction, sense making, metrics, and VAST contest.
CITATION
Catherine Plaisant, Theresa O'Connell, Georges Grinstein, Kanupriya Singhal, William Wright, John Stasko, Neel Parekh, Annie Tat, Sharon Laskowski, Jean Scholtz, Lynn Chien, Mark Whiting, Zhicheng Liu, Carsten Görg, "Evaluating Visual Analytics at the 2007 VAST Symposium Contest", IEEE Computer Graphics and Applications, vol. 28, no. , pp. 12-21, March/April 2008, doi:10.1109/MCG.2008.27
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