The eyes as a window to the mind: inferring cognitive state from gaze patterns

dc.contributor.authorBoisvert, Jonathan
dc.contributor.examiningcommitteeWang, Yang (Computer Science) Marotta, Jonathan (Psychology)en_US
dc.contributor.supervisorBruce, Neil (Computer Science)en_US
dc.date.accessioned2016-03-22T22:14:42Z
dc.date.available2016-03-22T22:14:42Z
dc.date.issued2015
dc.degree.disciplineComputer Scienceen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractIn seminal work, Yarbus examined the characteristic scanpaths that result when viewing an image, observing that scanpaths varied significantly depending on the question posed to the observer. While early efforts examining this hypothesis were equivocal, it has since been established that aspects of an observer’s assigned task may be inferred from their gaze. In this thesis we examine two datasets that have not previously been considered involving prediction of task and observer sentiment respectively. The first of these involves predicting general tasks assigned to observers viewing images, and the other predicting subjective ratings recorded after viewing advertisements. The results present interesting observations on task groupings and affective dimensions of images, and the value of various measurements (gaze or image based) in making these predictions. Analysis also demonstrates the importance of how data is partitioned for predictive analysis, and the complementary nature of gaze specific and image derived features.en_US
dc.description.noteMay 2016en_US
dc.identifier.urihttp://hdl.handle.net/1993/31168
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectVisionen_US
dc.subjectGazeen_US
dc.subjectFixationsen_US
dc.subjectEye movementsen_US
dc.subjectYarbusen_US
dc.subjectVisual searchen_US
dc.subjectAffective responseen_US
dc.subjectTask inferenceen_US
dc.titleThe eyes as a window to the mind: inferring cognitive state from gaze patternsen_US
dc.typemaster thesisen_US
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