Name
Abstract | ||
|---|---|---|
When inspecting information visualizations under time critical settings, such as emergency response or monitoring the heart rate in a surgery room, the user only has a small amount of time to view the visualization “at a glance”. In these settings, it is important to provide a quantitative measure of the visualization to understand whether or not the visualization is too “complex” to accurately ju... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TVCG.2018.2865264 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | DocType | Volume |
Data visualization,Entropy,Complexity theory,Visualization,Task analysis,Noise measurement,Shape | Journal | 25 |
Issue | ISSN | Citations |
1 | 1077-2626 | 5 |
PageRank | References | Authors |
0.40 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabriel Ryan | 1 | 8 | 2.47 |
| Abigail Mosca | 2 | 12 | 2.14 |
| Remco Chang | 3 | 983 | 64.96 |
| Eugene Wu | 4 | 691 | 45.52 |