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Modeling the Conversation with Digital Health Assistants in Adherence Apps: Some Considerations on the Similarities and Differences with Familiar Medical Encounters

Digital health assistants (DHAs) are conversational agents incorporated into health systems’ interfaces, exploiting an intuitive interaction format appreciated by the users. At the same time, however, their conversational format can evoke interactional practices typical of health encounters with hum...

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Detalles Bibliográficos
Autores principales: Spagnolli, Anna, Cenzato, Giulia, Gamberini, Luciano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298441/
https://www.ncbi.nlm.nih.gov/pubmed/37372768
http://dx.doi.org/10.3390/ijerph20126182
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author Spagnolli, Anna
Cenzato, Giulia
Gamberini, Luciano
author_facet Spagnolli, Anna
Cenzato, Giulia
Gamberini, Luciano
author_sort Spagnolli, Anna
collection PubMed
description Digital health assistants (DHAs) are conversational agents incorporated into health systems’ interfaces, exploiting an intuitive interaction format appreciated by the users. At the same time, however, their conversational format can evoke interactional practices typical of health encounters with human doctors that might misguide the users. Awareness of the similarities and differences between novel mediated encounters and more familiar ones helps designers avoid unintended expectations and leverage suitable ones. Focusing on adherence apps, we analytically discuss the structure of DHA-patient encounters against the literature on physician-patient encounters and the specific affordances of DHAs. We synthesize our discussion into a design checklist and add some considerations about DHA with unconstrained natural language interfaces.
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spelling pubmed-102984412023-06-28 Modeling the Conversation with Digital Health Assistants in Adherence Apps: Some Considerations on the Similarities and Differences with Familiar Medical Encounters Spagnolli, Anna Cenzato, Giulia Gamberini, Luciano Int J Environ Res Public Health Essay Digital health assistants (DHAs) are conversational agents incorporated into health systems’ interfaces, exploiting an intuitive interaction format appreciated by the users. At the same time, however, their conversational format can evoke interactional practices typical of health encounters with human doctors that might misguide the users. Awareness of the similarities and differences between novel mediated encounters and more familiar ones helps designers avoid unintended expectations and leverage suitable ones. Focusing on adherence apps, we analytically discuss the structure of DHA-patient encounters against the literature on physician-patient encounters and the specific affordances of DHAs. We synthesize our discussion into a design checklist and add some considerations about DHA with unconstrained natural language interfaces. MDPI 2023-06-19 /pmc/articles/PMC10298441/ /pubmed/37372768 http://dx.doi.org/10.3390/ijerph20126182 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Essay
Spagnolli, Anna
Cenzato, Giulia
Gamberini, Luciano
Modeling the Conversation with Digital Health Assistants in Adherence Apps: Some Considerations on the Similarities and Differences with Familiar Medical Encounters
title Modeling the Conversation with Digital Health Assistants in Adherence Apps: Some Considerations on the Similarities and Differences with Familiar Medical Encounters
title_full Modeling the Conversation with Digital Health Assistants in Adherence Apps: Some Considerations on the Similarities and Differences with Familiar Medical Encounters
title_fullStr Modeling the Conversation with Digital Health Assistants in Adherence Apps: Some Considerations on the Similarities and Differences with Familiar Medical Encounters
title_full_unstemmed Modeling the Conversation with Digital Health Assistants in Adherence Apps: Some Considerations on the Similarities and Differences with Familiar Medical Encounters
title_short Modeling the Conversation with Digital Health Assistants in Adherence Apps: Some Considerations on the Similarities and Differences with Familiar Medical Encounters
title_sort modeling the conversation with digital health assistants in adherence apps: some considerations on the similarities and differences with familiar medical encounters
topic Essay
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298441/
https://www.ncbi.nlm.nih.gov/pubmed/37372768
http://dx.doi.org/10.3390/ijerph20126182
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