Evaluating Visual Analytics at the 2007 VAST Symposium Contest March/April 2008 (vol. 28 no. 2) pp. 12-21
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2008.27
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. 1. C. Plaisant, J.D. Fekete, and G. Grinstein, "Promoting Insight Based Evaluation of Visualizations: From Contest to Benchmark Repository," Trans. Visualization and Computer Graphics (to appear).
Index Terms:
evaluation, visual analytics, human information interaction, sense making, metrics, and VAST contest.
Citation:
Catherine Plaisant, Georges Grinstein, Jean Scholtz, Mark Whiting, Theresa O'Connell, Sharon Laskowski, Lynn Chien, Annie Tat, William Wright, Carsten Görg, Zhicheng Liu, Neel Parekh, Kanupriya Singhal, John Stasko, "Evaluating Visual Analytics at the 2007 VAST Symposium Contest," IEEE Computer Graphics and Applications, vol. 28, no. 2, pp. 12-21, Mar./Apr. 2008, doi:10.1109/MCG.2008.27 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||