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Journal of Autism and Developmental Disorders

Gepubliceerd in:

10-08-2018 | Original Paper

Applying Eye Tracking to Identify Autism Spectrum Disorder in Children

Auteurs: Guobin Wan, Xuejun Kong, Binbin Sun, Siyi Yu, Yiheng Tu, Joel Park, Courtney Lang, Madelyn Koh, Zhen Wei, Zhe Feng, Yan Lin, Jian Kong

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 1/2019

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.

vorige artikel Vagal Tone as a Putative Mechanism for Pragmatic Competence: An Investigation of Carriers of the FMR1 Premutation

volgende artikel Maternal Interactive Behaviours in Parenting Children with Williams Syndrome and Autism Spectrum Disorder: Relations with Emotional/Behavioural Problems

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Titel: Applying Eye Tracking to Identify Autism Spectrum Disorder in Children
Auteurs: Guobin Wan
Xuejun Kong
Binbin Sun
Siyi Yu
Yiheng Tu
Joel Park
Courtney Lang
Madelyn Koh
Zhen Wei
Zhe Feng
Yan Lin
Jian Kong
Publicatiedatum: 10-08-2018
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 1/2019
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-018-3690-y

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