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Autor/inn/enWang, Qiandong; Lu, Haoyang; Feng, Shuyuan; Song, Ci; Hu, Yixiao; Yi, Li
TitelInvestigating Intra-Individual Variability of Face Scanning in Autistic Children
QuelleIn: Autism: The International Journal of Research and Practice, 26 (2022) 7, S.1752-1764 (13 Seiten)
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ZusatzinformationORCID (Lu, Haoyang)
ORCID (Yi, Li)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1362-3613
DOI10.1177/13623613211064373
SchlagwörterAutism Spectrum Disorders; Eye Movements; Visual Perception; Individual Differences; Children; Recognition (Psychology); Symptoms (Individual Disorders); Foreign Countries; China
AbstractWe investigated the intra-individual variability of face scanning in autistic children to represent a new avenue for understanding abnormal face scanning in autism spectrum condition. Across four studies, we used eye-tracking techniques to systematically examine the variability of face scanning patterns in autistic children when performing different tasks and scanning different types of faces. Autistic and non-autistic children were asked to complete a face judgment task (Study 1, age range: 4.9-7.2 years), a face recognition task (Study 2, age range: 4.7-7.6 years), a facial expression recognition task (Study 3, age range: 4.3-7.4 years), and a dynamic facial expression free viewing task (Study 4, age range: 2.5-5.6 years). In addition, we conducted Study 5 using houses as stimuli to test the specificity of the results to faces (age range: 4.9-7.2 years). We found that scan pattern similarity between different face presentations was lower in autistic children than non-autistic children, which was robust to variations in experimental methods. Furthermore, the decreased scan pattern similarity in autism spectrum condition was evident in both viewing faces and houses. These results suggest that the scanning patterns of autistic children are noisier and variable. It might represent a new avenue for the understanding of core symptoms in autism spectrum condition. (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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