Abstract
In this paper, we present a method for analyzing the complexity of information visualization. We have identified a number of factors that influence the efficiency of visual information read-off and integration. Here the complexity is measured in terms of visual integration, number of separable dimensions for each visual unit, the complexity of interpreting the visual attributes, and the efficiency of visual search. These measures are derived from well established psychological theories. Together they indicate the amount of cognitive load for comprehending a visualization design. This method is particularly useful for developers to quickly evaluate multiple design choices. Finally, we demonstrate our method through a complexity analysis on a computer security visualization program.
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Zhu, Y., Suo, X., Owen, G.S. (2007). Complexity Analysis for Information Visualization Design and Evaluation. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2007. Lecture Notes in Computer Science, vol 4841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76858-6_56
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DOI: https://doi.org/10.1007/978-3-540-76858-6_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76857-9
Online ISBN: 978-3-540-76858-6
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