Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1658349.1658353 | TAP |
Keywords | Field | DocType |
illustrative visualization,visualization system,volume composition,parameter selection,simple user interaction,specific visualization result,eye tracker,rendering parameter,tedious user interaction,visualization experience,eye-tracking data,interaction,general user,volume rendering,good initial rendering parameter,usability and human factors in visualization,reasonable rendering parameter,eye tracking,visual system,human factors | Interactivity,Computer vision,Heuristic,Volume rendering,Computer science,Simulation,Visualization,Usability,Eye tracking,Artificial intelligence,Rendering (computer graphics) | Journal |
Volume | Issue | ISSN |
7 | 1 | 1544-3558 |
Citations | PageRank | References |
3 | 0.41 | 44 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aidong Lu | 1 | 353 | 30.18 |
| Ross Maciejewski | 2 | 542 | 36.54 |
| David S. Ebert | 3 | 2056 | 232.34 |