Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study

Autores
Entenberg, Guido A.; Areas, Malenka Alejandra; Roussos, Andres Jorge; Maglio, Ana Laura; Thrall, Jillian; Escoredo, Milagros; Bunge, Eduardo L.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Online parenting training programs have shown to be effective. However, no studies on parent training programs delivered through chatbots have been reported yet. Aim. This study aims to assess the feasibility of delivering parenting skills through a chatbot. Methods. A sample of 33 parents completed a pilot feasibility study. Engagement, knowledge, net-promoters score and qualitative responses were analyzed. Results. A total of 78.8% of the sample completed the intervention. On average, participants remembered 3.7 skills out of the 5 presented and reported that they would recommend the chatbot to other parents (net promoter score was 7.44; SD = 2.31 out of 10). Overall, parents sent a mean of 54.24 (SD = 13.5) messages to the chatbot, and the mean number of words per message was 3. Main themes parents discussed with the chatbot included issues regarding their child’s habits, handling disruptive behaviors, interpersonal development, and emotional difficulties. Parents generally commented on the usefulness of the intervention and suggested improvements to the chatbot’s communication style. Conclusions. Overall, users completed the intervention, engaged with the bot, and would recommend the intervention to others. This suggests parenting skills could be delivered via chatbots.
Fil: Entenberg, Guido A.. Fundación Etci; Argentina
Fil: Areas, Malenka Alejandra. Universidad de Buenos Aires. Facultad de Psicología. Instituto de Investigaciones; Argentina. Universidad de Belgrano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Roussos, Andres Jorge. Universidad de Buenos Aires. Facultad de Psicología. Instituto de Investigaciones; Argentina. Universidad de Belgrano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Maglio, Ana Laura. Universidad de Buenos Aires. Facultad de Psicología. Instituto de Investigaciones; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Thrall, Jillian. Palo Alto University; Estados Unidos
Fil: Escoredo, Milagros. No especifíca;
Fil: Bunge, Eduardo L.. Palo Alto University; Estados Unidos
Materia
ARTIFICIAL INTELLIGENCE
CHATBOTS
ENGAGEMENT
PARENT TRAINING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/220092

id CONICETDig_e99939aea1fbc4ad06ed12763da6373e
oai_identifier_str oai:ri.conicet.gov.ar:11336/220092
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility StudyEntenberg, Guido A.Areas, Malenka AlejandraRoussos, Andres JorgeMaglio, Ana LauraThrall, JillianEscoredo, MilagrosBunge, Eduardo L.ARTIFICIAL INTELLIGENCECHATBOTSENGAGEMENTPARENT TRAININGhttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5Online parenting training programs have shown to be effective. However, no studies on parent training programs delivered through chatbots have been reported yet. Aim. This study aims to assess the feasibility of delivering parenting skills through a chatbot. Methods. A sample of 33 parents completed a pilot feasibility study. Engagement, knowledge, net-promoters score and qualitative responses were analyzed. Results. A total of 78.8% of the sample completed the intervention. On average, participants remembered 3.7 skills out of the 5 presented and reported that they would recommend the chatbot to other parents (net promoter score was 7.44; SD = 2.31 out of 10). Overall, parents sent a mean of 54.24 (SD = 13.5) messages to the chatbot, and the mean number of words per message was 3. Main themes parents discussed with the chatbot included issues regarding their child’s habits, handling disruptive behaviors, interpersonal development, and emotional difficulties. Parents generally commented on the usefulness of the intervention and suggested improvements to the chatbot’s communication style. Conclusions. Overall, users completed the intervention, engaged with the bot, and would recommend the intervention to others. This suggests parenting skills could be delivered via chatbots.Fil: Entenberg, Guido A.. Fundación Etci; ArgentinaFil: Areas, Malenka Alejandra. Universidad de Buenos Aires. Facultad de Psicología. Instituto de Investigaciones; Argentina. Universidad de Belgrano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Roussos, Andres Jorge. Universidad de Buenos Aires. Facultad de Psicología. Instituto de Investigaciones; Argentina. Universidad de Belgrano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Maglio, Ana Laura. Universidad de Buenos Aires. Facultad de Psicología. Instituto de Investigaciones; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Thrall, Jillian. Palo Alto University; Estados UnidosFil: Escoredo, Milagros. No especifíca;Fil: Bunge, Eduardo L.. Palo Alto University; Estados UnidosMDPI2021-11info: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/11336/220092Entenberg, Guido A.; Areas, Malenka Alejandra; Roussos, Andres Jorge; Maglio, Ana Laura; Thrall, Jillian; et al.; Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study; MDPI; Social Sciences; 10; 11; 11-2021; 1-92076-0760CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2076-0760/10/11/426info:eu-repo/semantics/altIdentifier/doi/10.3390/socsci10110426info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:42:21Zoai:ri.conicet.gov.ar:11336/220092instacron: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:34982025-09-29 09:42:21.803CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study
title Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study
spellingShingle Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study
Entenberg, Guido A.
ARTIFICIAL INTELLIGENCE
CHATBOTS
ENGAGEMENT
PARENT TRAINING
title_short Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study
title_full Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study
title_fullStr Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study
title_full_unstemmed Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study
title_sort Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study
dc.creator.none.fl_str_mv Entenberg, Guido A.
Areas, Malenka Alejandra
Roussos, Andres Jorge
Maglio, Ana Laura
Thrall, Jillian
Escoredo, Milagros
Bunge, Eduardo L.
author Entenberg, Guido A.
author_facet Entenberg, Guido A.
Areas, Malenka Alejandra
Roussos, Andres Jorge
Maglio, Ana Laura
Thrall, Jillian
Escoredo, Milagros
Bunge, Eduardo L.
author_role author
author2 Areas, Malenka Alejandra
Roussos, Andres Jorge
Maglio, Ana Laura
Thrall, Jillian
Escoredo, Milagros
Bunge, Eduardo L.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv ARTIFICIAL INTELLIGENCE
CHATBOTS
ENGAGEMENT
PARENT TRAINING
topic ARTIFICIAL INTELLIGENCE
CHATBOTS
ENGAGEMENT
PARENT TRAINING
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Online parenting training programs have shown to be effective. However, no studies on parent training programs delivered through chatbots have been reported yet. Aim. This study aims to assess the feasibility of delivering parenting skills through a chatbot. Methods. A sample of 33 parents completed a pilot feasibility study. Engagement, knowledge, net-promoters score and qualitative responses were analyzed. Results. A total of 78.8% of the sample completed the intervention. On average, participants remembered 3.7 skills out of the 5 presented and reported that they would recommend the chatbot to other parents (net promoter score was 7.44; SD = 2.31 out of 10). Overall, parents sent a mean of 54.24 (SD = 13.5) messages to the chatbot, and the mean number of words per message was 3. Main themes parents discussed with the chatbot included issues regarding their child’s habits, handling disruptive behaviors, interpersonal development, and emotional difficulties. Parents generally commented on the usefulness of the intervention and suggested improvements to the chatbot’s communication style. Conclusions. Overall, users completed the intervention, engaged with the bot, and would recommend the intervention to others. This suggests parenting skills could be delivered via chatbots.
Fil: Entenberg, Guido A.. Fundación Etci; Argentina
Fil: Areas, Malenka Alejandra. Universidad de Buenos Aires. Facultad de Psicología. Instituto de Investigaciones; Argentina. Universidad de Belgrano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Roussos, Andres Jorge. Universidad de Buenos Aires. Facultad de Psicología. Instituto de Investigaciones; Argentina. Universidad de Belgrano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Maglio, Ana Laura. Universidad de Buenos Aires. Facultad de Psicología. Instituto de Investigaciones; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Thrall, Jillian. Palo Alto University; Estados Unidos
Fil: Escoredo, Milagros. No especifíca;
Fil: Bunge, Eduardo L.. Palo Alto University; Estados Unidos
description Online parenting training programs have shown to be effective. However, no studies on parent training programs delivered through chatbots have been reported yet. Aim. This study aims to assess the feasibility of delivering parenting skills through a chatbot. Methods. A sample of 33 parents completed a pilot feasibility study. Engagement, knowledge, net-promoters score and qualitative responses were analyzed. Results. A total of 78.8% of the sample completed the intervention. On average, participants remembered 3.7 skills out of the 5 presented and reported that they would recommend the chatbot to other parents (net promoter score was 7.44; SD = 2.31 out of 10). Overall, parents sent a mean of 54.24 (SD = 13.5) messages to the chatbot, and the mean number of words per message was 3. Main themes parents discussed with the chatbot included issues regarding their child’s habits, handling disruptive behaviors, interpersonal development, and emotional difficulties. Parents generally commented on the usefulness of the intervention and suggested improvements to the chatbot’s communication style. Conclusions. Overall, users completed the intervention, engaged with the bot, and would recommend the intervention to others. This suggests parenting skills could be delivered via chatbots.
publishDate 2021
dc.date.none.fl_str_mv 2021-11
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/11336/220092
Entenberg, Guido A.; Areas, Malenka Alejandra; Roussos, Andres Jorge; Maglio, Ana Laura; Thrall, Jillian; et al.; Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study; MDPI; Social Sciences; 10; 11; 11-2021; 1-9
2076-0760
CONICET Digital
CONICET
url http://hdl.handle.net/11336/220092
identifier_str_mv Entenberg, Guido A.; Areas, Malenka Alejandra; Roussos, Andres Jorge; Maglio, Ana Laura; Thrall, Jillian; et al.; Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study; MDPI; Social Sciences; 10; 11; 11-2021; 1-9
2076-0760
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2076-0760/10/11/426
info:eu-repo/semantics/altIdentifier/doi/10.3390/socsci10110426
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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
_version_ 1844613334858465280
score 13.070432