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{ "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": "2019-01-01T10:00:00-08:00", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28886/galley/18757/download/" } ] }