Emotional facial expressions affect visual rule learning in 7- to 8-month-old infants.
Emotion
Face
Infants
Perceptual expertise
Rule learning
Journal
Infant behavior & development
ISSN: 1934-8800
Titre abrégé: Infant Behav Dev
Pays: United States
ID NLM: 7806016
Informations de publication
Date de publication:
11 2020
11 2020
Historique:
received:
07
05
2020
revised:
24
10
2020
accepted:
25
10
2020
pubmed:
9
11
2020
medline:
8
6
2021
entrez:
8
11
2020
Statut:
ppublish
Résumé
Rule learning (RL) is an implicit learning mechanism that allows infants to detect and generalize rule-like repetition-based patterns (such as ABB and ABA) from a sequence of elements. Increasing evidence shows that RL operates both in the auditory and the visual domain and is modulated by the perceptual expertise with the to-be-learned stimuli. Yet, whether infants' ability to detect a high-order rule from a sequence of stimuli is affected by affective information remains a largely unexplored issue. Using a visual habituation paradigm, we investigated whether the presence of emotional expressions with a positive and a negative value (i.e., happiness and anger) modulates 7- to 8-month-old infants' ability to learn a rule-like pattern from a sequence of faces of different identities. Results demonstrate that emotional facial expressions (either positive and negative) modulate infants' visual RL mechanism, even though positive and negative facial expressions affect infants' RL in a different manner: while anger disrupts infants' ability to learn the rule-like pattern from a face sequence, in the presence of a happy face infants show a familiarity preference, thus maintaining their learning ability. These findings show that emotional expressions exert an influence on infants' RL abilities, contributing to the investigation on how emotion and cognition interact in face processing during infancy.
Identifiants
pubmed: 33161207
pii: S0163-6383(20)30129-6
doi: 10.1016/j.infbeh.2020.101501
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
101501Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.