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  4. How Do Conversational Agents in Healthcare Impact on Patient Agency?
 

How Do Conversational Agents in Healthcare Impact on Patient Agency?

URI
https://arbor.bfh.ch/handle/arbor/36929
Version
Published
Date Issued
2024-03-22
Author(s)
Denecke, Kerstin  
Type
Conference Paper
Language
English
Abstract
In healthcare, agency refers to the ability of patients to actively participate in and control their health through collaborating with providers, informed decision-making and understanding health information. Conversational agents (CAs) are increasingly used for realizing digital health interventions, but it is still unclear how they are enhancing patient agency. This paper explores which technological components are required to enable CAs impacting on patient agency, and identifies metrics for measuring and evaluating this impact. We do this by drawing on existing work related to developing and evaluating healthcare CAs and through analysis of a concrete example of a CA. As a result, we identify five main areas where CAs enhance patient agency, namely by: improved access to health information, personalized advice, increased engagement, emotional support and reduced barriers to care. For each of these areas, specific technological functions have to be integrated into CAs such as sentiment and emotion analysis methods that allow a CA to support emotionally.
Subjects
T Technology (General)
DOI
10.24451/arbor.21459
https://doi.org/10.24451/arbor.21459
Publisher URL
https://aclanthology.org/2024.teicai-1.1
Related URL
https://sites.google.com/view/teicai2024 org https://aclanthology.org/2024.teicai-1.1.pdf publication
Organization
Institute for Patient-centered Digital Health  
AI for Health  
Technik und Informatik  
Conference
TEICAI 2024: Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights: Proceedings
Publisher
Association for Computational Linguistics
Submitter
Denecke, Kerstin
Citation apa
Denecke, K. (2024). How Do Conversational Agents in Healthcare Impact on Patient Agency? (pp. 1–8). Association for Computational Linguistics. https://doi.org/10.24451/arbor.21459
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