Should I learn from you? Seeing expectancy violations about action efficiency hinders social learning in infancy.

Open data Principle of rationality Selective learning Social learning Violation of expectation Visual preference

Journal

Cognition
ISSN: 1873-7838
Titre abrégé: Cognition
Pays: Netherlands
ID NLM: 0367541

Informations de publication

Date de publication:
01 2023
Historique:
received: 14 02 2022
revised: 22 09 2022
accepted: 26 09 2022
pubmed: 4 10 2022
medline: 1 12 2022
entrez: 3 10 2022
Statut: ppublish

Résumé

Infants generate basic expectations about their physical and social environment. This early knowledge allows them to identify opportunities for learning, preferring to explore and learn about objects that violate their prior expectations. However, less is known about how expectancy violations about people's actions influence infants' subsequent learning from others and about others. Here, we presented 18-month-old infants with an agent who acted either efficiently (expected action) or inefficiently (unexpected action) and then labeled an object. We hypothesized that infants would prefer to learn from the agent (label-object association) if she previously acted efficiently, but they would prefer to learn about the agent (voice-speaker association) if she previously acted inefficiently. As expected, infants who previously saw the agent acting efficiently showed greater attention to the demonstrated object and learned the new label-object association, but infants presented with the inefficient agent did not. However, there was no evidence that infants learned the voice-speaker association in any of the conditions. In summary, expectancy violations about people's actions may signal a situation to avoid learning from them. We discussed the results in relation to studies on surprise-induced learning, motionese, and selective social learning, and we proposed other experimental paradigms to investigate how expectancy violations influence infants' learning about others.

Identifiants

pubmed: 36191356
pii: S0010-0277(22)00281-5
doi: 10.1016/j.cognition.2022.105293
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

105293

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare to have no conflict of interest.

Auteurs

Marc Colomer (M)

Department of Psychology, University of Chicago, Chicago, IL, USA. Electronic address: marc.colomer.ca@gmail.com.

Amanda Woodward (A)

Department of Psychology, University of Chicago, Chicago, IL, USA.

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Classifications MeSH