{"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/"}]}