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Establishing aesthetics based on human graph reading behavior: two eye tracking studies
Citation
Huang, W, Establishing aesthetics based on human graph reading behavior: two eye tracking studies, Personal and Ubiquitous Computing, 17 pp. 93-105. ISSN 1617-4909 (2013) [Refereed Article]
Copyright Statement
Copyright 2013 Springer Verlag
DOI: doi:10.1007/s00779-011-0473-2
Abstract
A great deal of real-world data have graph
structures, and such structures are often visualized into
node-link diagrams for a better understanding of the data.
Aesthetic criteria have been used as quality measures to
evaluate the effectiveness of graph visualizations in conveying
the embedded information to end users. However,
commonly applied aesthetics are originally proposed based
on common senses and personal intuitions; thus, their relevance
to effectiveness is not guaranteed. It has been
agreed that aesthetics should be established based on
empirical evidence and derived from theories of how
people read graphs. As the first step to this end, we have
conducted two eye tracking studies in an attempt to
understand the underlying mechanism of edge crossings,
the most discussed aesthetic, affecting human graph reading
performance. These studies lead to the findings of an
important aesthetic of crossing angles and a graph reading
behavior of geodesic path tendency. We demonstrate that
eye tracking is an effective method for gaining insights into
how people read graphs and that how aesthetics can be
established based on human graph reading behavior.
Item Details
Item Type: | Refereed Article |
---|---|
Keywords: | Graph visualization |
Research Division: | Information and Computing Sciences |
Research Group: | Library and information studies |
Research Field: | Human information interaction and retrieval |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the information and computing sciences |
UTAS Author: | Huang, W (Dr Tony Huang) |
ID Code: | 90156 |
Year Published: | 2013 |
Web of Science® Times Cited: | 23 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2014-03-27 |
Last Modified: | 2017-11-13 |
Downloads: | 0 |
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