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Measuring Engagement in Robot-Assisted Therapy for Autistic Children

Children with autism face a range of challenges when it comes to verbal and nonverbal communication. It is essential that children participate in a variety of social, educational, and therapeutic activities to acquire knowledge that is essential for cognitive and social development. Recent studies h...

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Autores principales: Al-Nafjan, Abeer, Alhakbani, Noura, Alabdulkareem, Amal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451269/
https://www.ncbi.nlm.nih.gov/pubmed/37622758
http://dx.doi.org/10.3390/bs13080618
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author Al-Nafjan, Abeer
Alhakbani, Noura
Alabdulkareem, Amal
author_facet Al-Nafjan, Abeer
Alhakbani, Noura
Alabdulkareem, Amal
author_sort Al-Nafjan, Abeer
collection PubMed
description Children with autism face a range of challenges when it comes to verbal and nonverbal communication. It is essential that children participate in a variety of social, educational, and therapeutic activities to acquire knowledge that is essential for cognitive and social development. Recent studies have shown that children with autism may be interested in playing with an interactive robot. The robot can engage these children in ways that demonstrate and train essential aspects of human interaction, guiding them in therapeutic sessions to practice more complex forms of interaction found in social human-to-human interactions. This study sets out to investigate Robot-Assisted Autism Therapy (RAAT) and the use of artificial intelligence (AI) approaches for measuring the engagement of children during therapy sessions. The study population consisted of five native Arabic-speaking autistic children aged between 4 and 11 years old. The child–robot interaction was recorded by the robot camera and later used for analysis to detect engagement. The results show that the proposed system offers some accuracy in measuring the engagement of children with ASD. Our findings revealed that robot-assisted therapy is a promising field of application for intelligent social robots, especially to support autistic children in achieving their therapeutic and educational objectives.
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spelling pubmed-104512692023-08-26 Measuring Engagement in Robot-Assisted Therapy for Autistic Children Al-Nafjan, Abeer Alhakbani, Noura Alabdulkareem, Amal Behav Sci (Basel) Article Children with autism face a range of challenges when it comes to verbal and nonverbal communication. It is essential that children participate in a variety of social, educational, and therapeutic activities to acquire knowledge that is essential for cognitive and social development. Recent studies have shown that children with autism may be interested in playing with an interactive robot. The robot can engage these children in ways that demonstrate and train essential aspects of human interaction, guiding them in therapeutic sessions to practice more complex forms of interaction found in social human-to-human interactions. This study sets out to investigate Robot-Assisted Autism Therapy (RAAT) and the use of artificial intelligence (AI) approaches for measuring the engagement of children during therapy sessions. The study population consisted of five native Arabic-speaking autistic children aged between 4 and 11 years old. The child–robot interaction was recorded by the robot camera and later used for analysis to detect engagement. The results show that the proposed system offers some accuracy in measuring the engagement of children with ASD. Our findings revealed that robot-assisted therapy is a promising field of application for intelligent social robots, especially to support autistic children in achieving their therapeutic and educational objectives. MDPI 2023-07-25 /pmc/articles/PMC10451269/ /pubmed/37622758 http://dx.doi.org/10.3390/bs13080618 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Al-Nafjan, Abeer
Alhakbani, Noura
Alabdulkareem, Amal
Measuring Engagement in Robot-Assisted Therapy for Autistic Children
title Measuring Engagement in Robot-Assisted Therapy for Autistic Children
title_full Measuring Engagement in Robot-Assisted Therapy for Autistic Children
title_fullStr Measuring Engagement in Robot-Assisted Therapy for Autistic Children
title_full_unstemmed Measuring Engagement in Robot-Assisted Therapy for Autistic Children
title_short Measuring Engagement in Robot-Assisted Therapy for Autistic Children
title_sort measuring engagement in robot-assisted therapy for autistic children
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451269/
https://www.ncbi.nlm.nih.gov/pubmed/37622758
http://dx.doi.org/10.3390/bs13080618
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