Abstract
Using mathematical models of data and displays, we illustrate the importance of distinguishing between independent and dependent variables when counting the dimensions of data sets and displays. The number of independent variables occurring as dimensions of a display model is the most important factor determining its information carrying capacity. Independent variables in a display model also require interactive techniques for their implementation, as illustrated by our VIS-AD system and Beshers’ and Feiner’s worlds within worlds technique. Thus interactivity is critical for visually communicating large amounts of information, and the perceptual properties of interaction techniques are an important topic for visualization research.
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References
Beshers, C. and S. Feiner, 1992; Automated design of virtual worlds for visualizing multivariate relations. Proc. Visualization 92, IEEE, 283–290.
Hibbard, W., C. Dyer and B. Paul, 1992; Display of scientific data structures for algorithm visualization. Proc. Visualization 92, Boston, IEEE, 139–146.
Hibbard, W., C. Dyer and B. Paul, 1994; A Lattice Model for Data Display. In Preparation.
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© 1995 IFIP Series on Computer Graphics
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Hibbard, W.L., Paul, B.E., Dyer, C.R. (1995). Interactivity and the Dimensionality of Data Displays. In: Grinstein, G., Levkowitz, H. (eds) Perceptual Issues in Visualization. IFIP Series on Computer Graphics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79057-7_7
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DOI: https://doi.org/10.1007/978-3-642-79057-7_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-79059-1
Online ISBN: 978-3-642-79057-7
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