Local Features in Angry Faces Capture Attention in Children with Autism Spectrum Disorders Exhibiting Local-Biased Perceptual Characteristics

Tomoko Isomura, Shino Ogawa, Nobuo Masataka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Angry faces capture humans' attention more rapidly than emotionally positive facial expressions-a phenomenon known as the Anger Superiority Effect (ASE). Past studies have reported that individuals with Autism Spectrum Disorders (ASD) show ASE, but that apparently atypical mechanisms seemed to underlie. In the present study, we assumed that for ASDs who tend to process faces in a feature-based manner, single facial features would activate systems implicated in facilitated processing for angry faces. To test this assumption, we examined ASE in children with and without ASD by a visual search paradigm using schematic drawings of whole face, eyebrows-only, or mouth-only as stimuli. Results revealed that only ASD children showed rapid detection of anger over happiness (i.e., ASE) for the mouth-only condition, whereas both groups showed clear ASE for the whole face and eyebrows-only conditions. Furthermore, individuals with ASD who showed more local-based perceptual characteristics, assessed by a Navon task, also showed stronger ASE for the mouth-only condition. These findings suggest that extracting facial features and perceiving emotions are fundamental to ASE in ASD.

Original languageEnglish
Title of host publication2019 11th International Conference on Knowledge and Smart Technology, KST 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages203-207
Number of pages5
ISBN (Electronic)9781538675120
DOIs
Publication statusPublished - 2019 Apr 10
Event11th International Conference on Knowledge and Smart Technology, KST 2019 - Chonburi, Thailand
Duration: 2019 Jan 232019 Jan 26

Publication series

Name2019 11th International Conference on Knowledge and Smart Technology, KST 2019

Conference

Conference11th International Conference on Knowledge and Smart Technology, KST 2019
CountryThailand
CityChonburi
Period19/1/2319/1/26

Keywords

  • Anger superiority effect
  • Autism spectrum disorders
  • Global/local processing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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    Isomura, T., Ogawa, S., & Masataka, N. (2019). Local Features in Angry Faces Capture Attention in Children with Autism Spectrum Disorders Exhibiting Local-Biased Perceptual Characteristics. In 2019 11th International Conference on Knowledge and Smart Technology, KST 2019 (pp. 203-207). [8687532] (2019 11th International Conference on Knowledge and Smart Technology, KST 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/KST.2019.8687532