Ensemble perception of emotions in autistic and typical children and adolescents

Themelis Karaminis*, Louise Neil, Catherine Manning, Marco Turi, Chiara Fiorentini, David Burr, Elizabeth Pellicano

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Ensemble perception, the ability to assess automatically the summary of large amounts of information presented in visual scenes, is available early in typical development. This ability might be compromised in autistic children, who are thought to present limitations in maintaining summary statistics representations for the recent history of sensory input. Here we examined ensemble perception of facial emotional expressions in 35 autistic children, 30 age- and ability-matched typical children and 25 typical adults. Participants received three tasks: a) an ‘ensemble’ emotion discrimination task; b) a baseline (single-face) emotion discrimination task; and c) a facial expression identification task. Children performed worse than adults on all three tasks. Unexpectedly, autistic and typical children were, on average, indistinguishable in their precision and accuracy on all three tasks. Computational modelling suggested that, on average, autistic and typical children used ensemble-encoding strategies to a similar extent; but ensemble perception was related to non-verbal reasoning abilities in autistic but not in typical children. Eye-movement data also showed no group differences in the way children attended to the stimuli. Our combined findings suggest that the abilities of autistic and typical children for ensemble perception of emotions are comparable on average.

Original languageEnglish
Pages (from-to)51-62
Number of pages12
JournalDevelopmental Cognitive Neuroscience
Volume24
DOIs
Publication statusPublished - 1 Apr 2017

Bibliographical note

Publisher Copyright:
© 2017 The Authors

Keywords

  • Autism
  • Emotions
  • Ensemble perception
  • Facial expressions
  • Summary statistics

ASJC Scopus subject areas

  • Cognitive Neuroscience

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