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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Huang, W. |
| Copyright Year | 2007 |
| Description | Author affiliation: Nat. ICT Australia Ltd. (Huang, W.) |
| Abstract | Graphs are typically visualized as node-link diagrams. Although there is a fair amount of research focusing on crossing minimization to improve readability, little attention has been paid on how to handle crossings when they are an essential part of the final visualizations. This requires us to understand how people read graphs and how crossings affect reading performance. As an initial step to this end, a preliminary eye tracking experiment was conducted. The specific purpose of this experiment was to test the effects of crossing angles and geometric-path tendency on eye movements and performance. Sixteen subjects performed both path search and node locating tasks with six drawings. The results showed that small angles can slow down and trigger extra eye movements, causing delays for path search tasks, whereas crossings have little impact on node locating tasks. Geometric-path tendency indicates that a path between two nodes can become harder to follow when many branches of the path go toward the target node. The insights obtained are discussed with a view to further confirmation in future work. |
| Sponsorship | IEEE Soc. Visualization and Graphics Tech. Committee |
| Starting Page | 97 |
| Ending Page | 100 |
| File Size | 199045 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424408083 |
| DOI | 10.1109/APVIS.2007.329282 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-02-05 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Solid modeling Target tracking Minimization methods Social network services Data visualization Australia Information technology Delay Testing |
| Content Type | Text |
| Resource Type | Article |
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