Janin Koch
Antti Oulasvirta
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.
- Lisa Graham. 2008. Gestalt theory in interactive media design. Journal of Humanities & Social Sciences 2, 1. Retrieved January 13, 2016 from http://www.scientificjournals.org/journals2008/articles/1288.pdf?iframe=true&width=100%&height=100 %Google Scholar
- Anthony J. Hornof and David E. Kieras. 1997. Cognitive modeling reveals menu search in both random and systematic. Proceedings of the ACM SIGCHI Conference on Human factors in computing systems, ACM, 107-114. Retrieved January 13, 2016 from http://dl.acm.org/citation.cfm?id=258621 Google ScholarDigital Library
- Laurent Itti, Christof Koch, and Ernst Niebur. 1998. A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis & Machine Intelligence, 11: 1254-1259. Google ScholarDigital Library
- Ranjitha Kumar, Arvind Satyanarayan, Cesar Torres, et al. 2013. Webzeitgeist: design mining the web. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, 3083-3092. Retrieved January 13, 2016 from http://dl.acm.org/citation.cfm?id=2466420 Google ScholarDigital Library
- Aliaksei Miniukovich and Antonella De Angeli. 2015. Computation of Interface Aesthetics. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, ACM, 1163-1172. Retrieved January 13, 2016 from http://dl.acm.org/citation.cfm?id=2702575 Google ScholarDigital Library
- Open Source Project. Selenium. Retrieved from http://www.seleniumhq.org/Google Scholar
- Stephen E. Palmer. 1999. Vision science: Photons to phenomenology. MIT press Cambridge, MA. Retrieved January 13, 2016 from http://www.cell.com/trends/cognitivesciences/pdf/S1364--6613(99)01430--8.pdfGoogle Scholar
- Irvin Rock and Stephen Palmer. 1990. Gestalt psychology. Sci Am 263: 84-90.Google ScholarCross Ref
- Ruth Rosenholtz, Yuanzhen Li, and Lisa Nakano. 2007. Measuring visual clutter. Journal of vision 7, 2: 17.Google ScholarCross Ref
- Andrew B. Watson. 2006. 31.1: Invited Paper: The Spatial Standard Observer: A Human Vision Model for Display Inspection. SID Symposium Digest of Technical Papers 37 (1), 1312-1315. Retrieved January 13, 2016 from http://vision.arc.nasa.gov/publications/Watson2006-sid-31--1.pdfGoogle ScholarCross Ref
- Max Wertheimer. 1938. Laws of organization in perceptual forms. Retrieved January 13, 2016 from http://doi.apa.org/psycinfo/2007--10344-005Google ScholarCross Ref
Index Terms
- Computational Layout Perception using Gestalt Laws
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