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

Tomoko Isomura, Shino Ogawa, Nobuo Masataka

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2019 11th International Conference on Knowledge and Smart Technology, KST 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ203-207
ページ数5
ISBN(電子版)9781538675120
DOI
出版ステータスPublished - 2019 4月 10
イベント11th International Conference on Knowledge and Smart Technology, KST 2019 - Chonburi, Thailand
継続期間: 2019 1月 232019 1月 26

出版物シリーズ

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

Conference

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

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用

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