A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions.

Autor:	Park MS; School of Information Studies, University of Wisconsin-Milwaukee, WI, U.S.A., Upama PB; Department of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, U.S.A., Anik AA; Department of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, U.S.A., Ahamed SI; Department of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, U.S.A., Luo J; College of Health Sciences, University of Wisconsin-Milwaukee, WI, U.S.A., Tian S; Department of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, U.S.A., Rabbani M; Department of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, U.S.A., Oh H; College of Nursing, University of Wisconsin-Milwaukee, WI, U.S.A.
Jazyk:	angličtina
Zdroj:	Proceedings : Annual International Computer Software and Applications Conference. COMPSAC [Proc COMPSAC] 2023 Jun; Vol. 2023, pp. 1064-1075. Date of Electronic Publication: 2023 Aug 02.
DOI:	10.1109/COMPSAC57700.2023.00162
Abstrakt:	Conversational agents have gained their ground in our daily life and various domains including healthcare. Chronic condition self-management is one of the promising healthcare areas in which conversational agents demonstrate significant potential to contribute to alleviating healthcare burdens from chronic conditions. This survey paper introduces and outlines types of conversational agents, their generic architecture and workflow, the implemented technologies, and their application to chronic condition self-management.
Databáze:	MEDLINE
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