Responses of Conversational Agents to Health and Lifestyle Prompts
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
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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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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
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 |
language |
eng |
dc.relation.none.fl_str_mv |
PURE: 18176030 https://doi.org/10.2196/15823 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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