Name
Abstract | ||
|---|---|---|
•A computational model predicts how users visually search layouts, and how their search develops over time.•The adaptive feature guidance model suggests that people adapt their search strategy optimally according to the design and their memory of it.•The model accurately predicted human search behaviour over various layouts.•A number of practical uses and design guidelines are proposed. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ijhcs.2019.102376 | International Journal of Human-Computer Studies |
Keywords | Field | DocType |
Visual search,Computational modelling,Learning | Visual search,Homogeneous,Computer science,Expected utility hypothesis,Human–computer interaction,Perception,Salient | Journal |
Volume | ISSN | Citations |
136 | 1071-5819 | 2 |
PageRank | References | Authors |
0.37 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jussi P. P. Jokinen | 1 | 70 | 10.86 |
| Zhenxin Wang | 2 | 12 | 4.28 |
| Sayan Sarcar | 3 | 49 | 13.99 |
| Antti Oulasvirta | 4 | 3131 | 217.78 |
| Xiangshi Ren | 5 | 551 | 69.41 |