Metacognitive hindsight bias.

Confidence Hindsight bias Memory Metacognition Social cognition

Journal

Memory & cognition
ISSN: 1532-5946
Titre abrégé: Mem Cognit
Pays: United States
ID NLM: 0357443

Informations de publication

Date de publication:
07 2020
Historique:
pubmed: 29 1 2020
medline: 29 7 2021
entrez: 29 1 2020
Statut: ppublish

Résumé

Hindsight bias (HB) is the tendency to see known information as obvious. We studied metacognitive hindsight bias (MC-HB)-a shift away from one's original confidence regarding answers provided before learning the actual facts. In two experiments, participants answered general-knowledge questions in social scenarios and provided their confidence in each answer. Subsequently, they learned answers to half the questions and then recalled their initial answers and confidence. Finally, they reanswered, as a learning check. We measured confidence accuracy by calibration (over/underconfidence) and resolution (discrimination between incorrect and correct answers), expecting them to improve in hindsight. In both experiments, participants displayed robust HB and MC-HB for resolution despite attempts to recall the initial confidence in one's answer. In Experiment 2, promising anonymity to participants eliminated MC-HB, while social scenarios produced MC-HB for both resolution and calibration-indicative of overconfidence. Overall, our findings highlight that in social contexts, recall of confidence in hindsight is more consistent with answers' accuracy than confidence initially was. Social scenarios differently affect HB and MC-HB, thus dissociating these two biases.

Identifiants

pubmed: 31989482
doi: 10.3758/s13421-020-01012-w
pii: 10.3758/s13421-020-01012-w
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

731-744

Auteurs

Rakefet Ackerman (R)

Faculty of Industrial Engineering and Management, Technion-Israel Institute of Technology Technion City, 3200003, Haifa, Israel. ackerman@ie.technion.ac.il.

Daniel M Bernstein (DM)

Kwantlen Polytechnic University, Surrey, British Columbia, Canada.

Ragav Kumar (R)

University of Victoria, Victoria, Canada.

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Classifications MeSH