Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interaction

Autores
Benedicto Rodriguez, Gema; Hongn, Andrea; Juan, Carlos G.; Garrigos Guerrero, Javier; Bonomini, Maria Paula; Fernández Jover, Eduardo; Ferrandez Vicente, Jose Manuel
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In a world where social interaction presents challenges for children with Autism Spectrum Disorder (ASD), robots are stepping in as allies in emotional learning. This study examined how affective interactions with a humanoid robot elicited physiological responses in children with ASD, using electrodermal activity (EDA) and heart rate variability (HRV) as key indicators of emotional arousal. The objectives were to identify emotionally salient moments during human–robot interaction, assess whether certain individual characteristics — such as age or ASD severity — modulate autonomic responses, and evaluate the usefulness of wearable devices for real-time monitoring. Thirteen children participated in structured sessions involving a range of social, cognitive, and motor tasks alongside the robot Pepper. The results showed that the hugging phase (HS2) often generated greater autonomic reactivity in children, especially among younger children and those with higher levels of restlessness or a higher level of ASD. Children with level 2 ASD displayed higher sympathetic activation compared to level 1 participants, who showed more HRV stability. Age also played a role, as younger children demonstrated lower autonomic regulation. These ̄ndings highlight the relevance of physiological monitoring in detecting emotional dysregulation and tailoring robot-assisted therapy. Future developments will explore adaptive systems capable of adjusting interventions in real time to better support each child´s unique needs.
Fil: Benedicto Rodriguez, Gema. Universidad Politécnica de Cartagena; España
Fil: Hongn, Andrea. Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Ingeniería Biomédica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina
Fil: Juan, Carlos G.. Universidad Politécnica de Cartagena; España
Fil: Garrigos Guerrero, Javier. Universidad Politécnica de Cartagena; España
Fil: Bonomini, Maria Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Instituto Tecnológico de Buenos Aires; Argentina
Fil: Fernández Jover, Eduardo. Universidad de Miguel Hernández; España
Fil: Ferrandez Vicente, Jose Manuel. Universidad Politécnica de Cartagena; España
Materia
AUTISM
SPECTRUM
DISORDER
HUMAN
ROBOT
INTERACTION
EDA
HRV
EMOTIONS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/282546
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/282546
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interactionBenedicto Rodriguez, GemaHongn, AndreaJuan, Carlos G.Garrigos Guerrero, JavierBonomini, Maria PaulaFernández Jover, EduardoFerrandez Vicente, Jose ManuelAUTISMSPECTRUMDISORDERHUMANROBOTINTERACTIONEDAHRVEMOTIONShttps://purl.org/becyt/ford/2.6https://purl.org/becyt/ford/2In a world where social interaction presents challenges for children with Autism Spectrum Disorder (ASD), robots are stepping in as allies in emotional learning. This study examined how affective interactions with a humanoid robot elicited physiological responses in children with ASD, using electrodermal activity (EDA) and heart rate variability (HRV) as key indicators of emotional arousal. The objectives were to identify emotionally salient moments during human–robot interaction, assess whether certain individual characteristics — such as age or ASD severity — modulate autonomic responses, and evaluate the usefulness of wearable devices for real-time monitoring. Thirteen children participated in structured sessions involving a range of social, cognitive, and motor tasks alongside the robot Pepper. The results showed that the hugging phase (HS2) often generated greater autonomic reactivity in children, especially among younger children and those with higher levels of restlessness or a higher level of ASD. Children with level 2 ASD displayed higher sympathetic activation compared to level 1 participants, who showed more HRV stability. Age also played a role, as younger children demonstrated lower autonomic regulation. These ̄ndings highlight the relevance of physiological monitoring in detecting emotional dysregulation and tailoring robot-assisted therapy. Future developments will explore adaptive systems capable of adjusting interventions in real time to better support each child´s unique needs.Fil: Benedicto Rodriguez, Gema. Universidad Politécnica de Cartagena; EspañaFil: Hongn, Andrea. Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Ingeniería Biomédica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; ArgentinaFil: Juan, Carlos G.. Universidad Politécnica de Cartagena; EspañaFil: Garrigos Guerrero, Javier. Universidad Politécnica de Cartagena; EspañaFil: Bonomini, Maria Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Instituto Tecnológico de Buenos Aires; ArgentinaFil: Fernández Jover, Eduardo. Universidad de Miguel Hernández; EspañaFil: Ferrandez Vicente, Jose Manuel. Universidad Politécnica de Cartagena; EspañaWorld Scientific2025-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/282546Benedicto Rodriguez, Gema; Hongn, Andrea; Juan, Carlos G.; Garrigos Guerrero, Javier; Bonomini, Maria Paula; et al.; Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interaction; World Scientific; International Journal of Neural Systems; 35; 13; 8-2025; 1-170129-0657CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1142/S0129065725500662info:eu-repo/semantics/altIdentifier/url/https://www.worldscientific.com/doi/10.1142/S0129065725500662info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-03-11T11:56:54Zoai:ri.conicet.gov.ar:11336/282546instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-03-11 11:56:54.513CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interaction
title Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interaction
spellingShingle Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interaction
Benedicto Rodriguez, Gema
AUTISM
SPECTRUM
DISORDER
HUMAN
ROBOT
INTERACTION
EDA
HRV
EMOTIONS
title_short Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interaction
title_full Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interaction
title_fullStr Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interaction
title_full_unstemmed Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interaction
title_sort Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interaction
dc.creator.none.fl_str_mv Benedicto Rodriguez, Gema
Hongn, Andrea
Juan, Carlos G.
Garrigos Guerrero, Javier
Bonomini, Maria Paula
Fernández Jover, Eduardo
Ferrandez Vicente, Jose Manuel
author Benedicto Rodriguez, Gema
author_facet Benedicto Rodriguez, Gema
Hongn, Andrea
Juan, Carlos G.
Garrigos Guerrero, Javier
Bonomini, Maria Paula
Fernández Jover, Eduardo
Ferrandez Vicente, Jose Manuel
author_role author
author2 Hongn, Andrea
Juan, Carlos G.
Garrigos Guerrero, Javier
Bonomini, Maria Paula
Fernández Jover, Eduardo
Ferrandez Vicente, Jose Manuel
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv AUTISM
SPECTRUM
DISORDER
HUMAN
ROBOT
INTERACTION
EDA
HRV
EMOTIONS
topic AUTISM
SPECTRUM
DISORDER
HUMAN
ROBOT
INTERACTION
EDA
HRV
EMOTIONS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.6
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In a world where social interaction presents challenges for children with Autism Spectrum Disorder (ASD), robots are stepping in as allies in emotional learning. This study examined how affective interactions with a humanoid robot elicited physiological responses in children with ASD, using electrodermal activity (EDA) and heart rate variability (HRV) as key indicators of emotional arousal. The objectives were to identify emotionally salient moments during human–robot interaction, assess whether certain individual characteristics — such as age or ASD severity — modulate autonomic responses, and evaluate the usefulness of wearable devices for real-time monitoring. Thirteen children participated in structured sessions involving a range of social, cognitive, and motor tasks alongside the robot Pepper. The results showed that the hugging phase (HS2) often generated greater autonomic reactivity in children, especially among younger children and those with higher levels of restlessness or a higher level of ASD. Children with level 2 ASD displayed higher sympathetic activation compared to level 1 participants, who showed more HRV stability. Age also played a role, as younger children demonstrated lower autonomic regulation. These ̄ndings highlight the relevance of physiological monitoring in detecting emotional dysregulation and tailoring robot-assisted therapy. Future developments will explore adaptive systems capable of adjusting interventions in real time to better support each child´s unique needs.
Fil: Benedicto Rodriguez, Gema. Universidad Politécnica de Cartagena; España
Fil: Hongn, Andrea. Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Ingeniería Biomédica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina
Fil: Juan, Carlos G.. Universidad Politécnica de Cartagena; España
Fil: Garrigos Guerrero, Javier. Universidad Politécnica de Cartagena; España
Fil: Bonomini, Maria Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Instituto Tecnológico de Buenos Aires; Argentina
Fil: Fernández Jover, Eduardo. Universidad de Miguel Hernández; España
Fil: Ferrandez Vicente, Jose Manuel. Universidad Politécnica de Cartagena; España
description In a world where social interaction presents challenges for children with Autism Spectrum Disorder (ASD), robots are stepping in as allies in emotional learning. This study examined how affective interactions with a humanoid robot elicited physiological responses in children with ASD, using electrodermal activity (EDA) and heart rate variability (HRV) as key indicators of emotional arousal. The objectives were to identify emotionally salient moments during human–robot interaction, assess whether certain individual characteristics — such as age or ASD severity — modulate autonomic responses, and evaluate the usefulness of wearable devices for real-time monitoring. Thirteen children participated in structured sessions involving a range of social, cognitive, and motor tasks alongside the robot Pepper. The results showed that the hugging phase (HS2) often generated greater autonomic reactivity in children, especially among younger children and those with higher levels of restlessness or a higher level of ASD. Children with level 2 ASD displayed higher sympathetic activation compared to level 1 participants, who showed more HRV stability. Age also played a role, as younger children demonstrated lower autonomic regulation. These ̄ndings highlight the relevance of physiological monitoring in detecting emotional dysregulation and tailoring robot-assisted therapy. Future developments will explore adaptive systems capable of adjusting interventions in real time to better support each child´s unique needs.
publishDate 2025
dc.date.none.fl_str_mv 2025-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/282546
Benedicto Rodriguez, Gema; Hongn, Andrea; Juan, Carlos G.; Garrigos Guerrero, Javier; Bonomini, Maria Paula; et al.; Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interaction; World Scientific; International Journal of Neural Systems; 35; 13; 8-2025; 1-17
0129-0657
CONICET Digital
CONICET
url http://hdl.handle.net/11336/282546
identifier_str_mv Benedicto Rodriguez, Gema; Hongn, Andrea; Juan, Carlos G.; Garrigos Guerrero, Javier; Bonomini, Maria Paula; et al.; Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interaction; World Scientific; International Journal of Neural Systems; 35; 13; 8-2025; 1-17
0129-0657
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1142/S0129065725500662
info:eu-repo/semantics/altIdentifier/url/https://www.worldscientific.com/doi/10.1142/S0129065725500662
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv World Scientific
publisher.none.fl_str_mv World Scientific
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.977003

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