eCite Digital Repository
A graph reading behavior: Geodesic-path tendency
Citation
Huang, W and Eades, P and Hong, S-H, A graph reading behavior: Geodesic-path tendency, Proceedings of IEEE Pacific Visualization Symposium 2009, 20-23 April 2009, Beijing, China, pp. 137-144. ISBN 978-1-4244-4404-5 (2009) [Refereed Conference Paper]
Copyright Statement
Copyright 20009 IEEE
Official URL: http://dx.doi.org/10.1109/PACIFICVIS.2009.4906848
Abstract
The end result of graph visualization is that people read the graph
and understand the data. To make this effective, it is essential to
construct visualizations based on how people read graphs. Despite
the popularity and importance of graph usage in a variety of application
domains, little is known about how people read graphs.
The lack of this knowledge has severely limited the effectiveness of
graph visualizations.
In attempts to understand how people read graphs, we previously
observed that people have geodesic-path tendency based on subjective
eye tracking data. This paper presents two controlled experiments.
One is to approve the existence of the geodesic-path tendency.
The other is to examine the effects of this tendency on people
in reading graphs. The results show that in performing path search
tasks, when eyes encounter a node that has more than one link, links
that go toward the target node are more likely to be searched first.
The results also indicate that when graphs are drawn with branch
links on the path leading away from the target node, graph reading
performance can be significantly improved.
Item Details
Item Type: | Refereed Conference Paper |
---|---|
Keywords: | Graph visualization, graph reading, aesthetic criteria, geodesic-path tendency, evaluation |
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: | 90179 |
Year Published: | 2009 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2014-03-27 |
Last Modified: | 2015-02-05 |
Downloads: | 0 |
Repository Staff Only: item control page