{"pk":28886,"title":"Evidence for effort prediction in perceptual decisions","subtitle":null,"abstract":"The classic drift diffusion model of the 2AFC choice processassumes that observers select evidence accumulation thresh-olds to optimize some desired level of accuracy across the ex-periment. We argue that it is more ecologically natural to as-sume that decision-makers set this threshold adaptively, usinginformation from recent trials to adjust it for upcoming ones.To test this hypothesis, we designed and conducted a pair ofrandom dot motion discrimination experiment where the co-herence parameter that controls task difficulty varies across tri-als in a predictable manner. To analyze data from these exper-iments, we also designed a hierarchical drift diffusion modelthat allows decision-makers to adapt their evidence thresholdbased on the trend of difficulty of previous trials. Our resultssuggest that observers rationally integrate cross-trial informa-tion about trial difficulty into perceptual decision-making byadjusting their internal evidence thresholds. We briefly discussthe implications of the existence of such trial-level effort infer-ence on contemporary models of the choice process.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"drift diffusion model; ideal observer model;Bayesian modelling; cognitive effort; rational inference"}],"section":"Papers with Poster Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/07r519zt","frozenauthors":[{"first_name":"Nisheeth","middle_name":"","last_name":"Srivastava","name_suffix":"","institution":"IIT Kanpur","department":""}],"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/28886/galley/18757/download/"}]}