Evaluating Visual Analytics at the 2007 VAST Symposium Contest

Authors:
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
Affiliations:
University of Maryland;University of Massachusetts Lowell;Pacific Northwest National Laboratory;Pacific Northwest National Laboratory;National Institute of Standards and Technology;National Institute of Standards and Technology;Oculus Info;Oculus Info;Oculus Info;Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology
Venue:
IEEE Computer Graphics and Applications
Year:
2008

Citing 0
Cited 9

Jigsaw: supporting investigative analysis through interactive visualization

Information Visualization
Space to think: large high-resolution displays for sensemaking

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Advancing user-centered evaluation of visual analytic environments through contests

Information Visualization
Foundations and frontiers in visual analytics

Information Visualization
Evaluating the effectiveness of visualization techniques for schematic diagrams in maintenance tasks

Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization
Co-located collaborative sensemaking on a large high-resolution display with multiple input devices

INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
Semantic interaction for visual text analytics

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Patterns for visualization evaluation

Proceedings of the 2012 BELIV Workshop: Beyond Time and Errors - Novel Evaluation Methods for Visualization
Large high resolution displays for co-located collaborative sensemaking: Display usage and territoriality

International Journal of Human-Computer Studies

Quantified Score

Hi-index	0.00

Visualization

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.