Usability and acceptability assessment of an empathic virtual agent to prevent major depression

In Human-Computer Interaction, the adaptation of the content and the way of how this content is communicated to the users in interactive sessions is a critical issue to promote the acceptability and usability of any computational system. We present a user-adapted interactive platform to identify and...

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Detalhes bibliográficos
Autores: Bresó Guardado, Adrián, Martinez-Miranda, Juan, Botella Arbona, Cristina, Baños Rivera, Rosa María, Garcia-Gomez, Juan M
Formato: artículo
Fecha de publicación:2016
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/81732
Acesso em linha:https://riunet.upv.es/handle/10251/81732
Access Level:acceso abierto
Palavra-chave:Human-computer interaction
user-adapted sessions
emotional virtual agent
usability
acceptability
FISICA APLICADA
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spelling Usability and acceptability assessment of an empathic virtual agent to prevent major depressionBresó Guardado, AdriánMartinez-Miranda, JuanBotella Arbona, CristinaBaños Rivera, Rosa MaríaGarcia-Gomez, Juan MHuman-computer interactionuser-adapted sessionsemotional virtual agentusabilityacceptabilityFISICA APLICADAIn Human-Computer Interaction, the adaptation of the content and the way of how this content is communicated to the users in interactive sessions is a critical issue to promote the acceptability and usability of any computational system. We present a user-adapted interactive platform to identify and provide an early intervention for symptoms of depression and suicide. In particular, we describe the work performed to assess users' system acceptability and usability. An empathic Virtual Agent is the main interface with the user, and it has been designed to generate the appropriate dialogues and emotions during the interactions according to the detected user's specific needs. This personalization is based on a dynamic user model nurtured with clinical, demographical and behavioural information. The evaluation was performed with 60 participants from the university community. The obtained results were promising, allowing the execution of a further clinical trial. The system's usability score was 75.7%, and the score of the user-adapted content and the emotional responses of the Virtual Agent was 70.9%.The work presented in this manuscript has been partially funded by the Conselleria de Sanidad of Generalitat Valenciana, in the research project entitled 'Sistema computacional de ayuda a la prevencion de episodios de depresion y suicidio - PREVENDEP'. We thank the company Faceshift (www.faceshift.com) for providing their software to perform facial motion capture in order to develop the talking head that represent our empathic virtual agent.WileyDepartamento de Física AplicadaInstituto Universitario de Tecnologías de la Información y ComunicacionesEscuela Técnica Superior de Ingeniería IndustrialGeneralitat ValencianaRepositorio Institucional de la Universitat Politècnica de València Riunet20162016-08-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/81732reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/817322026-06-13T07:49:27Z
dc.title.none.fl_str_mv Usability and acceptability assessment of an empathic virtual agent to prevent major depression
title Usability and acceptability assessment of an empathic virtual agent to prevent major depression
spellingShingle Usability and acceptability assessment of an empathic virtual agent to prevent major depression
Bresó Guardado, Adrián
Human-computer interaction
user-adapted sessions
emotional virtual agent
usability
acceptability
FISICA APLICADA
title_short Usability and acceptability assessment of an empathic virtual agent to prevent major depression
title_full Usability and acceptability assessment of an empathic virtual agent to prevent major depression
title_fullStr Usability and acceptability assessment of an empathic virtual agent to prevent major depression
title_full_unstemmed Usability and acceptability assessment of an empathic virtual agent to prevent major depression
title_sort Usability and acceptability assessment of an empathic virtual agent to prevent major depression
dc.creator.none.fl_str_mv Bresó Guardado, Adrián
Martinez-Miranda, Juan
Botella Arbona, Cristina
Baños Rivera, Rosa María
Garcia-Gomez, Juan M
author Bresó Guardado, Adrián
author_facet Bresó Guardado, Adrián
Martinez-Miranda, Juan
Botella Arbona, Cristina
Baños Rivera, Rosa María
Garcia-Gomez, Juan M
author_role author
author2 Martinez-Miranda, Juan
Botella Arbona, Cristina
Baños Rivera, Rosa María
Garcia-Gomez, Juan M
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Física Aplicada
Instituto Universitario de Tecnologías de la Información y Comunicaciones
Escuela Técnica Superior de Ingeniería Industrial
Generalitat Valenciana
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Human-computer interaction
user-adapted sessions
emotional virtual agent
usability
acceptability
FISICA APLICADA
topic Human-computer interaction
user-adapted sessions
emotional virtual agent
usability
acceptability
FISICA APLICADA
description In Human-Computer Interaction, the adaptation of the content and the way of how this content is communicated to the users in interactive sessions is a critical issue to promote the acceptability and usability of any computational system. We present a user-adapted interactive platform to identify and provide an early intervention for symptoms of depression and suicide. In particular, we describe the work performed to assess users' system acceptability and usability. An empathic Virtual Agent is the main interface with the user, and it has been designed to generate the appropriate dialogues and emotions during the interactions according to the detected user's specific needs. This personalization is based on a dynamic user model nurtured with clinical, demographical and behavioural information. The evaluation was performed with 60 participants from the university community. The obtained results were promising, allowing the execution of a further clinical trial. The system's usability score was 75.7%, and the score of the user-adapted content and the emotional responses of the Virtual Agent was 70.9%.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-08-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/81732
url https://riunet.upv.es/handle/10251/81732
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869424817614094336
score 15,300719

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