Ludwig-Maximilians-Universität München, Institut für Informatik

Technical Report 94-11

Test Data Sets for Evaluating Data Visualization Techniques
June 1994
Daniel A. Keim
Institut für Informatik
Universität München
Leopoldstr. 11B
D-80802 München (Germany)
R. Daniel Bergeron
Department of Computer Science
University of New Hampshire
Durham, NH 03824
Ronald M. Pickett
Institute for Visualization and Perception Research
University of Massachusetts Lowell
Lowell, MA 01854
Testing Data Visualizations, Generating Test Data, Visualizing Multidimensional and Multivariate Data, Perception of Visualizations
In this paper we take a step toward addressing a pressing general problem in the development of data visualization systems - how to measure their effectiveness. The step we take is to define a model for specifying the generation of test data that can be employed for standardized and quantitative testing of a system's performance. These test data sets, in conjunction with appropriate testing procedures, can provide a basis for certifying the effectiveness of a visualization system and for conducting comparative studies to steer system development.

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