Abstract
We present preliminary results on computational perception of interactive layouts. Our goal is to algorithmically estimate how users perceive a layout. Potential applications range from automated usability evaluation to computer-generated and adaptive interfaces. Layout perception is challenging, however, because of diverse features, combinatorial complexity, and absence of approaches. We have explored Gestalt laws as parsing heuristics. Our approach finds a parametrization that optimally resolves conflicts among competing interpretations of a layout. The output is a hierarchical grouping of main elements. The results are promising: an implementation of just four Gestalt laws enables hierarchical grouping that presents promising results in 90% of our (realistic) test cases.
| Original language | English |
|---|---|
| Pages | 1423-1429 |
| Number of pages | 7 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | ACM SIGCHI Annual Conference on Human Factors in Computing Systems - San Jose, United States Duration: 7 May 2016 → 12 May 2016 Conference number: 34 https://chi2016.acm.org/wp/ |
Conference
| Conference | ACM SIGCHI Annual Conference on Human Factors in Computing Systems |
|---|---|
| Abbreviated title | ACM CHI |
| Country | United States |
| City | San Jose |
| Period | 07/05/2016 → 12/05/2016 |
| Internet address |
Keywords
- Computational perception
- User interface layouts
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Cite this
Koch, J., & Oulasvirta, A. (2016). Computational Layout Perception using Gestalt Laws. 1423-1429. Paper presented at ACM SIGCHI Annual Conference on Human Factors in Computing Systems, San Jose, United States. https://doi.org/10.1145/2851581.2892537