Type of Publication: | Contribution to a collection |
URI (citable link): | http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-70848 |
Author: | Keim, Daniel A.; Bergeron, Daniel R.; Pickett, Ronald M. |
Year of publication: | 1995 |
Published in: | Perceptual Issues in Visualization / Grinstein, G. et al. (ed.). - Berlin : Springer, 1995. - pp. 9-21 |
DOI (citable link): | https://dx.doi.org/10.1007/978-3-642-79057-7_2 |
Summary: |
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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Subject (DDC): | 004 Computer Science |
Keywords: | Testing Data Visualizations, Generating Test Data, Visualizing Multidimensional and Multivariate Data, Perception of Visualizations |
Link to License: | Attribution-NonCommercial-NoDerivs 2.0 Generic |
KEIM, Daniel A., Daniel R. BERGERON, Ronald M. PICKETT, 1995. Test Data Sets for Evaluating Data Visualization Techniques. In: GRINSTEIN, G., ed. and others. Perceptual Issues in Visualization. Berlin:Springer, pp. 9-21. Available under: doi: 10.1007/978-3-642-79057-7_2
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