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{ "pk": 26867, "title": "Categorization, Information Selection and Stimulus Uncertainty", "subtitle": null, "abstract": "Although a common assumption in models of perceptual dis-crimination, most models of categorization do not explicitlyaccount for uncertainty in stimulus measurement. Such un-certainty may arise from inherent perceptual noise or externalmeasurement noise (e.g., a medical test that gives variable re-sults). In this paper we explore how people decide to gatherinformation from various stimulus properties when each sam-ple or measurement is noisy. The participant’s goal is to cor-rectly classify the given item. Across two experiments we findsupport for the idea that people take category structure intoaccount when selecting information for a classification deci-sion. In addition, we find some evidence that people are alsosensitive to their own perceptual uncertainty when selectinginformation.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "attention" }, { "word": "Categorization" }, { "word": "information sampling" } ], "section": "Talks: Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/20w5v933", "frozenauthors": [ { "first_name": "David", "middle_name": "J.", "last_name": "Halpern", "name_suffix": "", "institution": "New York University", "department": "" }, { "first_name": "Todd", "middle_name": "M.", "last_name": "Gureckis", "name_suffix": "", "institution": "New York University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2017-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26867/galley/16503/download/" } ] }