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Article: Heuristic use of perceptual evidence leads to dissociation between performance and metacognitive sensitivity

TitleHeuristic use of perceptual evidence leads to dissociation between performance and metacognitive sensitivity
Authors
KeywordsSignal detection theory
Visual awareness
Bayesian modeling
Issue Date2016
Citation
Attention, Perception, and Psychophysics, 2016, v. 78, n. 3, p. 923-937 How to Cite?
Abstract© The Psychonomic Society, Inc. 2016. Zylberberg et al. [Zylberberg, Barttfeld, & Sigman (Frontiers in Integrative Neuroscience, 6; 79, 2012), Frontiers in Integrative Neuroscience 6:79] found that confidence decisions, but not perceptual decisions, are insensitive to evidence against a selected perceptual choice. We present a signal detection theoretic model to formalize this insight, which gave rise to a counter-intuitive empirical prediction: that depending on the observerâ s perceptual choice, increasing task performance can be associated with decreasing metacognitive sensitivity (i.e., the trial-by-trial correspondence between confidence and accuracy). The model also provides an explanation as to why metacognitive sensitivity tends to be less than optimal in actual subjects. These predictions were confirmed robustly in a psychophysics experiment. In a second experiment we found that, in at least some subjects, the effects were replicated even under performance feedback designed to encourage optimal behavior. However, some subjects did show improvement under feedback, suggesting the tendency to ignore evidence against a selected perceptual choice may be a heuristic adopted by the perceptual decision-making system, rather than reflecting inherent biological limitations.We present a Bayesianmodeling framework that explainswhy this heuristic strategy may be advantageous in real-world contexts.
Persistent Identifierhttp://hdl.handle.net/10722/242665
ISSN
2023 Impact Factor: 1.7
2023 SCImago Journal Rankings: 0.833
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorManiscalco, Brian-
dc.contributor.authorPeters, Megan A.K.-
dc.contributor.authorLau, Hakwan-
dc.date.accessioned2017-08-10T10:51:16Z-
dc.date.available2017-08-10T10:51:16Z-
dc.date.issued2016-
dc.identifier.citationAttention, Perception, and Psychophysics, 2016, v. 78, n. 3, p. 923-937-
dc.identifier.issn1943-3921-
dc.identifier.urihttp://hdl.handle.net/10722/242665-
dc.description.abstract© The Psychonomic Society, Inc. 2016. Zylberberg et al. [Zylberberg, Barttfeld, & Sigman (Frontiers in Integrative Neuroscience, 6; 79, 2012), Frontiers in Integrative Neuroscience 6:79] found that confidence decisions, but not perceptual decisions, are insensitive to evidence against a selected perceptual choice. We present a signal detection theoretic model to formalize this insight, which gave rise to a counter-intuitive empirical prediction: that depending on the observerâ s perceptual choice, increasing task performance can be associated with decreasing metacognitive sensitivity (i.e., the trial-by-trial correspondence between confidence and accuracy). The model also provides an explanation as to why metacognitive sensitivity tends to be less than optimal in actual subjects. These predictions were confirmed robustly in a psychophysics experiment. In a second experiment we found that, in at least some subjects, the effects were replicated even under performance feedback designed to encourage optimal behavior. However, some subjects did show improvement under feedback, suggesting the tendency to ignore evidence against a selected perceptual choice may be a heuristic adopted by the perceptual decision-making system, rather than reflecting inherent biological limitations.We present a Bayesianmodeling framework that explainswhy this heuristic strategy may be advantageous in real-world contexts.-
dc.languageeng-
dc.relation.ispartofAttention, Perception, and Psychophysics-
dc.subjectSignal detection theory-
dc.subjectVisual awareness-
dc.subjectBayesian modeling-
dc.titleHeuristic use of perceptual evidence leads to dissociation between performance and metacognitive sensitivity-
dc.typeArticle-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.3758/s13414-016-1059-x-
dc.identifier.pmid26791233-
dc.identifier.scopuseid_2-s2.0-84954528868-
dc.identifier.volume78-
dc.identifier.issue3-
dc.identifier.spage923-
dc.identifier.epage937-
dc.identifier.eissn1943-393X-
dc.identifier.isiWOS:000373230500018-
dc.identifier.issnl1943-3921-

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