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Recognition of facial expressions of emotions in school-age children: the intersection of perceptual and semantic categories

Vicari, S.·2000·Acta Paediatrica

Abstract

UNLABELLED: Recognition of the facial expressions of emotions is a critical communicative system early in development and continues to play an important role throughout adulthood. In the past, the results of developmental studies of emotional facial recognition have often conflicted. The present study was designed to examine the development of emotional facial recognition in a large sample of school-aged children (n = 120, ages 5-10y). In particular, we investigate whether emotion categories, i.e., those based on the visual spatial parameters of facial expression, develop in a similar fashion to those that also recruit lexical knowledge of emotion terms. We have found two distinct patterns of development and we suggest that these different profiles are a consequence of the very different cognitive abilities that they recruit. CONCLUSION: Emotion cognition is a variegated domain which is differentially related to such areas of cognition as visuo-spatial and lexical semantic abilities.

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Metadata

Authors
Vicari, S.
Venue
Acta Paediatrica
Publisher
Wiley
Published
2000
Volume
89
Issue
7
Pages
836-845
ISSN
  • 0365-1436 (ISSN-L)
  • 0803-5253
OpenAlex
W1997002933
Cited by
180
References
2
FWCI
0.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recognition of facial expressions of emotions in school-age children: the intersection of perceptual and semantic categories. https://app.cochat.ai/papers/10.1080/080352500750043756
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Vicari, S. (2000). Recognition of facial expressions of emotions in school-age children: the intersection of perceptual and semantic categories. Acta Paediatrica. https://doi.org/10.1080/080352500750043756

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.