Responses of Conversational Agents to Health and Lifestyle Prompts

Detalhes bibliográficos
Autor(a) principal: Kocaballi, Ahmet Baki
Data de Publicação: 2020
Outros Autores: Quiroz, Juan C., Rezazadegan, Dana, Berkovsky, Shlomo, Magrabi, Farah, Coiera, Enrico, Laranjo, Liliana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/97779
Resumo: BACKGROUND: Conversational agents (CAs) are systems that mimic human conversations using text or spoken language. Their widely used examples include voice-activated systems such as Apple Siri, Google Assistant, Amazon Alexa, and Microsoft Cortana. The use of CAs in health care has been on the rise, but concerns about their potential safety risks often remain understudied. OBJECTIVE: This study aimed to analyze how commonly available, general-purpose CAs on smartphones and smart speakers respond to health and lifestyle prompts (questions and open-ended statements) by examining their responses in terms of content and structure alike. METHODS: We followed a piloted script to present health- and lifestyle-related prompts to 8 CAs. The CAs' responses were assessed for their appropriateness on the basis of the prompt type: responses to safety-critical prompts were deemed appropriate if they included a referral to a health professional or service, whereas responses to lifestyle prompts were deemed appropriate if they provided relevant information to address the problem prompted. The response structure was also examined according to information sources (Web search-based or precoded), response content style (informative and/or directive), confirmation of prompt recognition, and empathy. RESULTS: The 8 studied CAs provided in total 240 responses to 30 prompts. They collectively responded appropriately to 41% (46/112) of the safety-critical and 39% (37/96) of the lifestyle prompts. The ratio of appropriate responses deteriorated when safety-critical prompts were rephrased or when the agent used a voice-only interface. The appropriate responses included mostly directive content and empathy statements for the safety-critical prompts and a mix of informative and directive content for the lifestyle prompts. CONCLUSIONS: Our results suggest that the commonly available, general-purpose CAs on smartphones and smart speakers with unconstrained natural language interfaces are limited in their ability to advise on both the safety-critical health prompts and lifestyle prompts. Our study also identified some response structures the CAs employed to present their appropriate responses. Further investigation is needed to establish guidelines for designing suitable response structures for different prompt types.
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spelling Responses of Conversational Agents to Health and Lifestyle PromptsInvestigation of Appropriateness and Presentation Structureschatbotsconversational agentsdesign principlesevaluationhealth literacypatient safetypublic healthHealth InformaticsSDG 3 - Good Health and Well-beingBACKGROUND: Conversational agents (CAs) are systems that mimic human conversations using text or spoken language. Their widely used examples include voice-activated systems such as Apple Siri, Google Assistant, Amazon Alexa, and Microsoft Cortana. The use of CAs in health care has been on the rise, but concerns about their potential safety risks often remain understudied. OBJECTIVE: This study aimed to analyze how commonly available, general-purpose CAs on smartphones and smart speakers respond to health and lifestyle prompts (questions and open-ended statements) by examining their responses in terms of content and structure alike. METHODS: We followed a piloted script to present health- and lifestyle-related prompts to 8 CAs. The CAs' responses were assessed for their appropriateness on the basis of the prompt type: responses to safety-critical prompts were deemed appropriate if they included a referral to a health professional or service, whereas responses to lifestyle prompts were deemed appropriate if they provided relevant information to address the problem prompted. The response structure was also examined according to information sources (Web search-based or precoded), response content style (informative and/or directive), confirmation of prompt recognition, and empathy. RESULTS: The 8 studied CAs provided in total 240 responses to 30 prompts. They collectively responded appropriately to 41% (46/112) of the safety-critical and 39% (37/96) of the lifestyle prompts. The ratio of appropriate responses deteriorated when safety-critical prompts were rephrased or when the agent used a voice-only interface. The appropriate responses included mostly directive content and empathy statements for the safety-critical prompts and a mix of informative and directive content for the lifestyle prompts. CONCLUSIONS: Our results suggest that the commonly available, general-purpose CAs on smartphones and smart speakers with unconstrained natural language interfaces are limited in their ability to advise on both the safety-critical health prompts and lifestyle prompts. Our study also identified some response structures the CAs employed to present their appropriate responses. Further investigation is needed to establish guidelines for designing suitable response structures for different prompt types.Comprehensive Health Research Centre (CHRC) - pólo NMSCentro de Investigação em Saúde Pública (CISP/PHRC)NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNKocaballi, Ahmet BakiQuiroz, Juan C.Rezazadegan, DanaBerkovsky, ShlomoMagrabi, FarahCoiera, EnricoLaranjo, Liliana2020-05-15T22:45:35Z2020-02-092020-02-09T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/97779engPURE: 18176030https://doi.org/10.2196/15823info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:44:42Zoai:run.unl.pt:10362/97779Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:38:48.328275Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Responses of Conversational Agents to Health and Lifestyle Prompts
Investigation of Appropriateness and Presentation Structures
title Responses of Conversational Agents to Health and Lifestyle Prompts
spellingShingle Responses of Conversational Agents to Health and Lifestyle Prompts
Kocaballi, Ahmet Baki
chatbots
conversational agents
design principles
evaluation
health literacy
patient safety
public health
Health Informatics
SDG 3 - Good Health and Well-being
title_short Responses of Conversational Agents to Health and Lifestyle Prompts
title_full Responses of Conversational Agents to Health and Lifestyle Prompts
title_fullStr Responses of Conversational Agents to Health and Lifestyle Prompts
title_full_unstemmed Responses of Conversational Agents to Health and Lifestyle Prompts
title_sort Responses of Conversational Agents to Health and Lifestyle Prompts
author Kocaballi, Ahmet Baki
author_facet Kocaballi, Ahmet Baki
Quiroz, Juan C.
Rezazadegan, Dana
Berkovsky, Shlomo
Magrabi, Farah
Coiera, Enrico
Laranjo, Liliana
author_role author
author2 Quiroz, Juan C.
Rezazadegan, Dana
Berkovsky, Shlomo
Magrabi, Farah
Coiera, Enrico
Laranjo, Liliana
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Comprehensive Health Research Centre (CHRC) - pólo NMS
Centro de Investigação em Saúde Pública (CISP/PHRC)
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
RUN
dc.contributor.author.fl_str_mv Kocaballi, Ahmet Baki
Quiroz, Juan C.
Rezazadegan, Dana
Berkovsky, Shlomo
Magrabi, Farah
Coiera, Enrico
Laranjo, Liliana
dc.subject.por.fl_str_mv chatbots
conversational agents
design principles
evaluation
health literacy
patient safety
public health
Health Informatics
SDG 3 - Good Health and Well-being
topic chatbots
conversational agents
design principles
evaluation
health literacy
patient safety
public health
Health Informatics
SDG 3 - Good Health and Well-being
description BACKGROUND: Conversational agents (CAs) are systems that mimic human conversations using text or spoken language. Their widely used examples include voice-activated systems such as Apple Siri, Google Assistant, Amazon Alexa, and Microsoft Cortana. The use of CAs in health care has been on the rise, but concerns about their potential safety risks often remain understudied. OBJECTIVE: This study aimed to analyze how commonly available, general-purpose CAs on smartphones and smart speakers respond to health and lifestyle prompts (questions and open-ended statements) by examining their responses in terms of content and structure alike. METHODS: We followed a piloted script to present health- and lifestyle-related prompts to 8 CAs. The CAs' responses were assessed for their appropriateness on the basis of the prompt type: responses to safety-critical prompts were deemed appropriate if they included a referral to a health professional or service, whereas responses to lifestyle prompts were deemed appropriate if they provided relevant information to address the problem prompted. The response structure was also examined according to information sources (Web search-based or precoded), response content style (informative and/or directive), confirmation of prompt recognition, and empathy. RESULTS: The 8 studied CAs provided in total 240 responses to 30 prompts. They collectively responded appropriately to 41% (46/112) of the safety-critical and 39% (37/96) of the lifestyle prompts. The ratio of appropriate responses deteriorated when safety-critical prompts were rephrased or when the agent used a voice-only interface. The appropriate responses included mostly directive content and empathy statements for the safety-critical prompts and a mix of informative and directive content for the lifestyle prompts. CONCLUSIONS: Our results suggest that the commonly available, general-purpose CAs on smartphones and smart speakers with unconstrained natural language interfaces are limited in their ability to advise on both the safety-critical health prompts and lifestyle prompts. Our study also identified some response structures the CAs employed to present their appropriate responses. Further investigation is needed to establish guidelines for designing suitable response structures for different prompt types.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-15T22:45:35Z
2020-02-09
2020-02-09T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/97779
url http://hdl.handle.net/10362/97779
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv PURE: 18176030
https://doi.org/10.2196/15823
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