{"pk":28765,"title":"AI and Cognitive Testing: A New Conceptual Framework and Roadmap","subtitle":null,"abstract":"Understanding how a person thinks, i.e., measuring a singleindividual’s cognitive characteristics, is challenging becausecognition is not directly observable. Practically speaking, stan-dardized cognitive tests (tests of IQ, memory, attention, etc.),with results interpreted by expert clinicians, represent the stateof the art in measuring a person’s cognition. Three areas ofAI show particular promise for improving the effectiveness ofthis kind of cognitive testing: 1) behavioral sensing, to morerobustly quantify individual test-taker behaviors, 2) data min-ing, to identify and extract meaningful patterns from behav-ioral datasets; and 3) cognitive modeling, to help map ob-served behaviors onto hypothesized cognitive strategies. Webring these three areas of AI research together in a unified con-ceptual framework and provide a sampling of recent work ineach area. Continued research at the nexus of AI and cogni-tive testing has potentially far-reaching implications for soci-ety in virtually every context in which measuring cognition isimportant, including research across many disciplines of cog-nitive science as well as applications in clinical, educational,and workforce settings.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"artificial intelligence; behavioral sensing; cogni-tive modeling; computational psychiatry; neuropsychology"}],"section":"Papers with Poster Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/7g2327r9","frozenauthors":[],"date_submitted":null,"date_accepted":null,"date_published":"2019-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/28765/galley/18636/download/"}]}