Difference between revisions of "Spagnolli2023"

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(BibTeX auto import 2023-06-21 02:34:24)
 
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|Title=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
 
|Author(s)=Anna Spagnolli; Giulia Cenzato; Luciano Gamberini;  
 
|Author(s)=Anna Spagnolli; Giulia Cenzato; Luciano Gamberini;  
|Tag(s)=EMCA; Digital Health Assistants; Conversation Design; Modeling; Adherence
+
|Tag(s)=EMCA; Medical EMCA; Digital Health Assistants; Conversation Design; Modeling; Adherence
 
|BibType=ARTICLE
 
|BibType=ARTICLE
 
|Year=2023
 
|Year=2023

Revision as of 02:34, 21 June 2023

Spagnolli2023
BibType ARTICLE
Key Spagnolli2023
Author(s) Anna Spagnolli, Giulia Cenzato, Luciano Gamberini
Title Modeling the Conversation with Digital Health Assistants in Adherence Apps: Some Considerations on the Similarities and Differences with Familiar Medical Encounters
Editor(s)
Tag(s) EMCA, Medical EMCA, Digital Health Assistants, Conversation Design, Modeling, Adherence
Publisher
Year 2023
Language
City
Month jun
Journal International Journal of Environmental Research and Public Health
Volume 20
Number 12
Pages 6182
URL Link
DOI 10.3390/ijerph20126182
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter

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Abstract

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.

Notes