Name
Abstract | ||
|---|---|---|
When assessing the value of visualizations, researchers traditionally focus on efficiency, comprehension, or insight. However, analyzing successful data physicalizations leads to a deep appreciation for hedonic qualities. Informed by the role of emotion in psychology, art, design, marketing, and HCI, we argue for an expanded definition of value, applicable to all forms of data visualization. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MCG.2019.2923483 | IEEE Computer Graphics and Applications |
Field | DocType | Volume |
Data visualization,Visualization,Computer science,Human–computer interaction,Multimedia,Comprehension | Journal | 39 |
Issue | ISSN | Citations |
5 | 0272-1716 | 3 |
PageRank | References | Authors |
0.40 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wang, Y. | 1 | 195 | 36.84 |
| Adrien Segal | 2 | 3 | 0.40 |
| Roberta L. Klatzky | 3 | 827 | 160.45 |
| Daniel F. Keefe | 4 | 523 | 39.14 |
| Petra Isenberg | 5 | 1471 | 68.00 |
| Jörn Hurtienne | 6 | 268 | 44.65 |
| Eva Hornecker | 7 | 1636 | 122.51 |
| Tim Dwyer | 8 | 1135 | 71.28 |
| Stephen Barrass | 9 | 3 | 0.40 |