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{ "pk": 25683, "title": "Assessing a Bayesian account of human gaze perception", "subtitle": null, "abstract": "Although gaze can be directed at any location, different locations\nin the visual environment vary in terms of how likely\nthey are to draw another person’s attention. One could therefore\nweigh incoming perceptual signals (e.g., eye cues) against\nthis prior knowledge (the relative visual saliency of locations\nin the scene) in order to infer the true target of another person’s\ngaze. This Bayesian approach to modeling gaze perception has\ninformed computer vision techniques, but we assess whether\nit is a good model for human performance. We present subjects\nwith a “gazer” fixating his eyes on various locations on\na 2-dimensional surface, and project an arbitrary photographic\nimage onto that surface. Subjects judge where the gazer is\nlooking in the image. A full Bayesian model, which takes image\nsaliency information into account, fits subjects’ gaze judgments\nbetter than a reduced model that only considers the perceived\ndirection of the gazer’s eyes.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "gaze; Bayesian modeling; social perception; social\nattention; visual saliency" } ], "section": "Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/47183255", "frozenauthors": [ { "first_name": "Peter", "middle_name": "Chee", "last_name": "Pantelis", "name_suffix": "", "institution": "Indiana University–Bloomington", "department": "" }, { "first_name": "Daniel", "middle_name": "P", "last_name": "Kennedy", "name_suffix": "", "institution": "Indiana University–Bloomington", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2015-01-01T10:00:00-08:00", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25683/galley/15307/download/" } ] }