Abstract
This article presents a method for automating rendering parameter selection to simplify tedious user interaction and improve the usability of visualization systems. Our approach acquires the important/interesting regions of a dataset through simple user interaction with an eye tracker. Based on this importance information, we automatically compute reasonable rendering parameters using a set of heuristic rules, which are adapted from visualization experience and psychophysical experiments. A user study has been conducted to evaluate these rendering parameters, and while the parameter selections for a specific visualization result are subjective, our approach provides good preliminary results for general users while allowing additional control adjustment. Furthermore, our system improves the interactivity of a visualization system by significantly reducing the required amount of parameter selections and providing good initial rendering parameters for newly acquired datasets of similar types.
Original language | English (US) |
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Article number | 4 |
Journal | ACM Transactions on Applied Perception |
Volume | 7 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2010 |
Externally published | Yes |
Keywords
- Eye tracker
- Illustrative visualization
- Interaction
- Usability and human factors in visualization
- Volume rendering
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
- Experimental and Cognitive Psychology