An "active vision" computational model of visual search for human-computer interaction

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dc.contributor.author Halverson, Timothy E., 1971-
dc.date.accessioned 2009-05-18T23:22:21Z
dc.date.available 2009-05-18T23:22:21Z
dc.date.issued 2008-12
dc.identifier.uri http://hdl.handle.net/1794/9174
dc.description xx, 191 p. : ill. (some col.) A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number. en_US
dc.description.abstract Visual search is an important part of human-computer interaction (HCI). The visual search processes that people use have a substantial effect on the time expended and likelihood of finding the information they seek. This dissertation investigates visual search through experiments and computational cognitive modeling. Computational cognitive modeling is a powerful methodology that uses computer simulation to capture, assert, record, and replay plausible sets of interactions among the many human processes at work during visual search. This dissertation aims to provide a cognitive model of visual search that can be utilized by predictive interface analysis tools and to do so in a manner consistent with a comprehensive theory of human visual processing, namely active vision. The model accounts for the four questions of active vision, the answers to which are important to both practitioners and researchers in HCI: What can be perceived in a fixation? When do the eyes move? Where do the eyes move? What information is integrated between eye movements? This dissertation presents a principled progression of the development of a computational model of active vision. Three experiments were conducted that investigate the effects of visual layout properties: density, color, and word meaning. The experimental results provide a better understanding of how these factors affect human- computer visual interaction. Three sets of data, two from the experiments reported here, were accurately modeled in the EPIC (Executive Process-Interactive Control) cognitive architecture. This work extends the practice of computational cognitive modeling by (a) informing the process of developing computational models through the use of eye movement data and (b) providing the first detailed instantiation of the theory of active vision in a computational framework. This instantiation allows us to better understand (a) the effects and interactions of visual search processes and (b) how these visual search processes can be used computationally to predict people's visual search behavior. This research ultimately benefits HCI by giving researchers and practitioners a better understanding of how users visually interact with computers and provides a foundation for tools to predict that interaction. This dissertation includes-both previously published and co-authored material. en_US
dc.description.sponsorship Adviser: Anthony J. Hornof en_US
dc.language.iso en_US en_US
dc.publisher University of Oregon en_US
dc.relation.ispartofseries University of Oregon theses, Dept. of Computer and Information Science, Ph. D., 2008;
dc.subject Visual search en_US
dc.subject Human-computer interaction en_US
dc.subject Cognitive modeling en_US
dc.subject Eye tracking en_US
dc.subject Cognitive psychology en_US
dc.subject Computer science en_US
dc.title An "active vision" computational model of visual search for human-computer interaction en_US
dc.type Thesis en_US


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