Name
Abstract | ||
|---|---|---|
Effective communication using visualization relies in part on the use of viable encoding strategies. For example, a viewer's ability to rapidly and accurately discern between two or more categorical variables in a chart or figure is contingent upon the distinctiveness of the encodings applied to each variable. Research in perception suggests that color is a more salient visual feature when compare... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TVCG.2017.2745086 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Shape,Encoding,Visual analytics,Data visualization,Visual perception,Interference | Computer vision,Numerosity adaptation effect,Closed category,Pattern recognition,Computer science,Visualization,Categorical variable,Artificial intelligence,Perception,Visual perception,Optimal distinctiveness theory,Salient | Journal |
Volume | Issue | ISSN |
24 | 1 | 1077-2626 |
Citations | PageRank | References |
1 | 0.35 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Burlinson | 1 | 11 | 4.41 |
| Kalpathi R. Subramanian | 2 | 250 | 21.55 |
| Paula Goolkasian | 3 | 118 | 9.73 |