Identifying autism spectrum disorder symptoms using response and gaze behavior during the Go/NoGo game CatChicken

Abstract Previous studies have found that Autism Spectrum Disorder (ASD) children scored lower during a Go/No-Go task and faced difficulty focusing their gaze on the speaker’s face during a conversation. To date, however, there has not been an adequate study examining children’s response and gaze du...

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Autores principales:	Prasetia Utama Putra, Keisuke Shima, Sergio A. Alvarez, Koji Shimatani
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/38c62e2912b14638a9d55468634974f7
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spelling	oai:doaj.org-article:38c62e2912b14638a9d55468634974f72021-11-14T12:18:15ZIdentifying autism spectrum disorder symptoms using response and gaze behavior during the Go/NoGo game CatChicken10.1038/s41598-021-01050-72045-2322https://doaj.org/article/38c62e2912b14638a9d55468634974f72021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01050-7https://doaj.org/toc/2045-2322Abstract Previous studies have found that Autism Spectrum Disorder (ASD) children scored lower during a Go/No-Go task and faced difficulty focusing their gaze on the speaker’s face during a conversation. To date, however, there has not been an adequate study examining children’s response and gaze during the Go/No-Go task to distinguish ASD from typical children. We investigated typical and ASD children’s gaze modulation when they played a version of the Go/No-Go game. The proposed system represents the Go and the No-Go stimuli as chicken and cat characters, respectively. It tracks children’s gaze using an eye tracker mounted on the monitor. Statistically significant between-group differences in spatial and auto-regressive temporal gaze-related features for 21 ASD and 31 typical children suggest that ASD children had more unstable gaze modulation during the test. Using the features that differ significantly as inputs, the AdaBoost meta-learning algorithm attained an accuracy rate of 88.6% in differentiating the ASD subjects from the typical ones.Prasetia Utama PutraKeisuke ShimaSergio A. AlvarezKoji ShimataniNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Prasetia Utama Putra Keisuke Shima Sergio A. Alvarez Koji Shimatani Identifying autism spectrum disorder symptoms using response and gaze behavior during the Go/NoGo game CatChicken
description	Abstract Previous studies have found that Autism Spectrum Disorder (ASD) children scored lower during a Go/No-Go task and faced difficulty focusing their gaze on the speaker’s face during a conversation. To date, however, there has not been an adequate study examining children’s response and gaze during the Go/No-Go task to distinguish ASD from typical children. We investigated typical and ASD children’s gaze modulation when they played a version of the Go/No-Go game. The proposed system represents the Go and the No-Go stimuli as chicken and cat characters, respectively. It tracks children’s gaze using an eye tracker mounted on the monitor. Statistically significant between-group differences in spatial and auto-regressive temporal gaze-related features for 21 ASD and 31 typical children suggest that ASD children had more unstable gaze modulation during the test. Using the features that differ significantly as inputs, the AdaBoost meta-learning algorithm attained an accuracy rate of 88.6% in differentiating the ASD subjects from the typical ones.
format	article
author	Prasetia Utama Putra Keisuke Shima Sergio A. Alvarez Koji Shimatani
author_facet	Prasetia Utama Putra Keisuke Shima Sergio A. Alvarez Koji Shimatani
author_sort	Prasetia Utama Putra
title	Identifying autism spectrum disorder symptoms using response and gaze behavior during the Go/NoGo game CatChicken
title_short	Identifying autism spectrum disorder symptoms using response and gaze behavior during the Go/NoGo game CatChicken
title_full	Identifying autism spectrum disorder symptoms using response and gaze behavior during the Go/NoGo game CatChicken
title_fullStr	Identifying autism spectrum disorder symptoms using response and gaze behavior during the Go/NoGo game CatChicken
title_full_unstemmed	Identifying autism spectrum disorder symptoms using response and gaze behavior during the Go/NoGo game CatChicken
title_sort	identifying autism spectrum disorder symptoms using response and gaze behavior during the go/nogo game catchicken
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/38c62e2912b14638a9d55468634974f7
work_keys_str_mv	AT prasetiautamaputra identifyingautismspectrumdisordersymptomsusingresponseandgazebehaviorduringthegonogogamecatchicken AT keisukeshima identifyingautismspectrumdisordersymptomsusingresponseandgazebehaviorduringthegonogogamecatchicken AT sergioaalvarez identifyingautismspectrumdisordersymptomsusingresponseandgazebehaviorduringthegonogogamecatchicken AT kojishimatani identifyingautismspectrumdisordersymptomsusingresponseandgazebehaviorduringthegonogogamecatchicken
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Identifying autism spectrum disorder symptoms using response and gaze behavior during the Go/NoGo game CatChicken

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