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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dong Hyun Jeong Green, T.M. Ribarsky, W. Chang, R. |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Interactive Arts and Technology, Simon Fraser University, Canada (Green, T.M.) || Charlotte Visualization Center, UNC Charlotte, USA (Dong Hyun Jeong; Ribarsky, W.; Chang, R.) |
| Abstract | In visual analytics, menu systems are commonly adopted as supporting tools because of the complex nature of data. However, it is still unknown how much the interaction implicit to the interface impacts the performance of visual analysis. To show the effectiveness of two interface tools, one a floating text-based menu (Floating-Menu) and the other a more interactive iconic tool (Interactive-Icon), we evaluated the use and human performance of both tools within one highly interactive visual analytics system. We asked participants to answer similarly constructed, straightforward questions in a genomic visualization, first with one tool, and then the other. During task performance we tracked completion times, task errors, and captured coarse-grained interactive behaviors. Based on the participants accuracy, speed, behaviors and post-task qualitative feedback, we observed that although the Interactive-Icon tool supports continuous interactions, task-oriented user evaluation did not find a significant difference between the two tools because there is a familiarity effect on the performance of solving the task questions with using Floating-Menu interface tool. |
| Starting Page | 219 |
| Ending Page | 220 |
| File Size | 285623 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781424452835 |
| DOI | 10.1109/VAST.2009.5333469 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Art Visual analytics Humans Genomics Data visualization Organisms Cognition Performance analysis Phylogeny Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
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