Wellformedness Properties in Euler Diagrams: Which Should Be Used?

Rodgers, Peter and Zhang, Leishi and Purchase, Helen (2012) Wellformedness Properties in Euler Diagrams: Which Should Be Used? Transactions on Visualization and Computer Graphics, 18 (7). pp. 1089-1100. (Full text available)

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Abstract

Euler diagrams are often used to visualize intersecting data sets in applications such as criminology; genetics, medicine, and computer file systems. One interesting aspect of these diagrams is that some data sets cannot be drawn without breaking one or more ''wellformedness properties, which are considered to reduce the user comprehension of the diagrams. However, it is possible to draw the same data with different diagrams, each of which breaks different wellformedness properties. Hence, some properties are ''swappable, so motivating the study of which of the alternatives would be best to use. This paper reports on the two empirical studies to determine how wellformedness properties affect comprehension. One study was with abstract data, the other was with concrete data that visualized students' enrollment on university modules. We have results from both studies that imply that diagrams with concurrency or disconnected zones perform less well than other some other properties. Further, we have no results that imply that diagrams with brushing points adversely affect performance. Our data also indicate that nonsimple curves are preferred less than diagrams with other properties. These results will inform both human diagram designers and the developers of automated drawing systems on the best way to visualize data using Euler diagrams.

Item Type: Article
Uncontrolled keywords: Euler Diagrams, Venn Diagrams
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Computational Intelligence Group
Depositing User: Peter Rodgers
Date Deposited: 21 Sep 2012 09:49
Last Modified: 27 Sep 2012 08:20
Resource URI: http://kar.kent.ac.uk/id/eprint/30804 (The current URI for this page, for reference purposes)
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