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Understanding Emotions in Children with Developmental Disabilities during Robot Therapy Using EDA

Recent technological advancements have led to the emergence of supportive robotics to help children with developmental disabilities become independent. In conventional research, in robot therapy, experiments are often conducted by operating the robot out of the subject’s sight. In this paper, robot...

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Detalles Bibliográficos
Autores principales: Nagae, Taisuke, Lee, Jaeryoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315678/
https://www.ncbi.nlm.nih.gov/pubmed/35890792
http://dx.doi.org/10.3390/s22145116
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author Nagae, Taisuke
Lee, Jaeryoung
author_facet Nagae, Taisuke
Lee, Jaeryoung
author_sort Nagae, Taisuke
collection PubMed
description Recent technological advancements have led to the emergence of supportive robotics to help children with developmental disabilities become independent. In conventional research, in robot therapy, experiments are often conducted by operating the robot out of the subject’s sight. In this paper, robot therapy using a system that can autonomously recognize the emotions of a child with developmental disabilities and provide feedback was developed. The aim was to quantitatively infer emotional changes in children using skin conductance (EDA) during robot therapy. It was demonstrated that the robot could recognize emotions autonomously and provide feedback to the subjects. Additionally, a quantitative evaluation was conducted using EDA. By analyzing the symptoms related to developmental disorders, it may be possible to improve the recognition rate and tailor therapy based on symptoms.
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spelling pubmed-93156782022-07-27 Understanding Emotions in Children with Developmental Disabilities during Robot Therapy Using EDA Nagae, Taisuke Lee, Jaeryoung Sensors (Basel) Article Recent technological advancements have led to the emergence of supportive robotics to help children with developmental disabilities become independent. In conventional research, in robot therapy, experiments are often conducted by operating the robot out of the subject’s sight. In this paper, robot therapy using a system that can autonomously recognize the emotions of a child with developmental disabilities and provide feedback was developed. The aim was to quantitatively infer emotional changes in children using skin conductance (EDA) during robot therapy. It was demonstrated that the robot could recognize emotions autonomously and provide feedback to the subjects. Additionally, a quantitative evaluation was conducted using EDA. By analyzing the symptoms related to developmental disorders, it may be possible to improve the recognition rate and tailor therapy based on symptoms. MDPI 2022-07-07 /pmc/articles/PMC9315678/ /pubmed/35890792 http://dx.doi.org/10.3390/s22145116 Text en © 2022 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
Nagae, Taisuke
Lee, Jaeryoung
Understanding Emotions in Children with Developmental Disabilities during Robot Therapy Using EDA
title Understanding Emotions in Children with Developmental Disabilities during Robot Therapy Using EDA
title_full Understanding Emotions in Children with Developmental Disabilities during Robot Therapy Using EDA
title_fullStr Understanding Emotions in Children with Developmental Disabilities during Robot Therapy Using EDA
title_full_unstemmed Understanding Emotions in Children with Developmental Disabilities during Robot Therapy Using EDA
title_short Understanding Emotions in Children with Developmental Disabilities during Robot Therapy Using EDA
title_sort understanding emotions in children with developmental disabilities during robot therapy using eda
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315678/
https://www.ncbi.nlm.nih.gov/pubmed/35890792
http://dx.doi.org/10.3390/s22145116
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