Cited by 9Face Recognition and PerceptionChild and Animal Learning DevelopmentChild and Adolescent Psychosocial and Emotional Development

Children track probabilistic distributions of facial cues across individuals

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Woodard, Kristina, Plate, Rista C., Pollak, Seth D.·2022·Journal of Experimental Psychology: General

Abstract

Children face a difficult task in learning how to reason about other people's emotions. How intensely facial configurations are displayed can vary not only according to what and how much emotion people are experiencing, but also across individuals based on differences in personality, gender, and culture. To navigate these sources of variability, children may use statistical information about other's facial cues to make interpretations about perceived emotions in others. We examined this possibility by testing children's ability to adjust to differences in the intensity of facial cues across different individuals. In the present study, children (6- to 10-year-olds) categorized the information communicated by facial configurations of emotion varying continuously from "calm" to "upset," with differences in the intensity of each actor's facial movements. We found that children's threshold for categorizing a facial configuration as "upset" shifted depending on the statistical information encountered about each of the different individuals. These results suggest that children are able to track individual differences in facial behavior and use these differences to flexibly update their interpretations of facial cues associated with emotion. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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Research works printed but not linked: 6

  1. Kleinschmidt D, & Jaeger TF (2011). A Bayesian belief updating model of phonetic recalibration and selective adaptation. Association for Computational Linguistics.
  2. Montirosso R, Peverelli M, Frigerio E, Crespi M, & Borgatti R (2010). The development of dynamic facial expression recognition at different intensities in 4‐to 18‐year‐olds. Social Development, 19(1), 71– 92.
  3. Ruba AL, & Pollak SD (2020). The development of emotion reasoning in infancy and early childhood. Annual Review of Developmental Psychology, 2, 503– 531.
  4. Schuler KD, Yang C, & Newport EL (2016). Testing the Tolerance Principle: Children form productive rules when it is more computationally efficient to do so. In CogSci (Vol. 38, pp. 2321– 2326).
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  6. Woodard K, Plate RC, & Pollak SD (2021, April 12). Children Track Probabilistic Distributions of Facial Cues Across Individuals. Retrieved from osf.io/uec4m PMC8923917 34570561

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Authors
Woodard, K., Plate, R. C., & Pollak, S. D.
Venue
Journal of Experimental Psychology: General
Published
2022-02
Volume
151
Issue
2
Pages
506-511
ISSN
  • 0096-3445 (ISSN-L)
  • 1939-2222
OpenAlex
W3201711748
Cited by
9
References
26
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2023: 1 · 2022: 3 · 2021: 1
FWCI
0.79
Type
journal article
Language
en
Open access
Locations
  • Journal of Experimental Psychology General (publishedVersion, other-oa)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • OSF Preprints (OSF Preprints) (submittedVersion)
Funders
  • National Institute of Mental Health (MH61285)
  • National Institute of Child Health and Human Development (U54 HD090256)
  • University of Wisconsin
  • National Science Foundation (DGE-1256259)
  • Sponsor name not included
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
  • Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
  • Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
Keywords
emotion perception, facial expressions, children, probabilistic reasoning, statistical learning, individual differences, emotion classification, social cognition development
MeSH terms
Child, Cues, Emotions, Face, Facial Expression, Humans, Learning

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