Issue No. 02 - March/April (2008 vol. 28)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2008.27
Catherine Plaisant , University of Maryland
Georges Grinstein , University of Massachusetts Lowell
Jean Scholtz , Pacific Northwest National Laboratory
Mark Whiting , Pacific Northwest National Laboratory
Theresa O'Connell , National Institute of Standards and Technology
Sharon Laskowski , National Institute of Standards and Technology
Lynn Chien , Oculus Info
Annie Tat , Oculus Info
William Wright , Oculus Info
Carsten Görg , Georgia Institute of Technology
Zhicheng Liu , Georgia Institute of Technology
Neel Parekh , Georgia Institute of Technology
Kanupriya Singhal , Georgia Institute of Technology
John Stasko , Georgia Institute of Technology
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.
evaluation, visual analytics, human information interaction, sense making, metrics, and VAST contest.
C. Plaisant et al., "Evaluating Visual Analytics at the 2007 VAST Symposium Contest," in IEEE Computer Graphics and Applications, vol. 28, no. , pp. 12-21, 2008.