Applying Eye Tracking to Identify Autism Spectrum Disorder in Children

Autor/inn/en	Wan, Guobin; Kong, Xuejun; Sun, Binbin; Yu, Siyi; Tu, Yiheng; Park, Joel; Lang, Courtney; Koh, Madelyn; Wei, Zhen; Feng, Zhe; Lin, Yan; Kong, Jian
Titel	Applying Eye Tracking to Identify Autism Spectrum Disorder in Children
Quelle	In: Journal of Autism and Developmental Disorders, 49 (2019) 1, S.209-215 (7 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0162-3257
DOI	10.1007/s10803-018-3690-y
Schlagwörter	Eye Movements; Autism; Pervasive Developmental Disorders; Video Technology; Young Children; Human Body; Accuracy; Classification; Identification; Comparative Analysis + Suchen Sie Ihr Suchwort? Augenbewegung; Autismus; Frühe Kindheit; Menschlicher Körper; Classification system; Klassifikation; Klassifikationssystem; Identifikation; Identifizierung
Abstract	Eye tracking (ET) holds potential for the early detection of autism spectrum disorder (ASD). To overcome the difficulties of working with young children, developing a short and informative paradigm is crucial for ET. We investigated the fixation times of 37 ASD and 37 typically developing (TD) children ages 4-6 watching a 10-second video of a female speaking. ASD children showed significant reductions in fixation time at six areas of interest. Furthermore, discriminant analysis revealed fixation times at the mouth and body could significantly discriminate ASD from TD with a classification accuracy of 85.1%, sensitivity of 86.5%, and specificity of 83.8%. Our study suggests that a short video clip may provide enough information to distinguish ASD from TD children. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01