Computational Layout Perception using Gestalt Laws

Research output: Contribution to conferencePaperScientific

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 languageEnglish
Pages1423-1429
Number of pages7
DOIs
Publication statusPublished - 2016
EventACM SIGCHI Annual Conference on Human Factors in Computing Systems - San Jose, United States
Duration: 7 May 201612 May 2016
Conference number: 34
https://chi2016.acm.org/wp/

Conference

ConferenceACM SIGCHI Annual Conference on Human Factors in Computing Systems
Abbreviated titleACM CHI
CountryUnited States
CitySan Jose
Period07/05/201612/05/2016
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