Title :
Evaluating Visual Analytics at the 2007 VAST Symposium Contest
Author :
Plaisant, Catherine ; Grinstein, Georges ; Scholtz, Jean ; Whiting, Mark ; O´Connell, Theresa ; Laskowski, Sharon ; Chien, Lynn ; Tat, Annie ; Wright, William ; Gorg, Carmelita ; Liu, Zhicheng ; Parekh, Neel ; Singhal, Kanupriya ; Stasko, John
Author_Institution :
Univ. of Maryland, College Park
Abstract :
In this article, we report on the contest´s data set and tasks, the judging criteria, the winning tools, and the overall lessons learned in the competition. We believe that by organizing these contests, we´re creating useful resources for researchers and are beginning to understand how to better evaluate VA tools. Competitions encourage the community to work on difficult problems, improve their tools, and develop baselines for others to build or improve upon. We continue to evolve a collection of data sets, scenarios, and evaluation methodologies that reflect the richness of the many VA tasks and applications.
Keywords :
data visualisation; 2007 VAST Symposium Contest; Visual Analytics Science and Technology; data visualization; visual analytics; Data analysis; Data mining; Data visualization; Information services; Internet; Laboratories; NIST; Radio access networks; Visual analytics; Web sites; and VAST contest.; evaluation; human information interaction; metrics; sense making; visual analytics;
Journal_Title :
Computer Graphics and Applications, IEEE
DOI :
10.1109/MCG.2008.27
