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对话代理及其在慢性病自我管理中的应用调查

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

作者信息

Park Min Sook, Upama Paramita Basak, Anik Adib Ahmed, Ahamed Sheikh Iqbal, Luo Jake, Tian Shiyu, Rabbani Masud, Oh Hyungkyoung

机构信息

School of Information Studies, University of Wisconsin-Milwaukee, WI, U.S.A.

Department of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, U.S.A.

出版信息

Proc COMPSAC. 2023 Jun;2023:1064-1075. doi: 10.1109/COMPSAC57700.2023.00162. Epub 2023 Aug 2.

Abstract

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.

摘要

对话代理已在我们的日常生活以及包括医疗保健在内的各个领域站稳脚跟。慢性病自我管理是一个很有前景的医疗保健领域,在这一领域中,对话代理在减轻慢性病医疗负担方面展现出了巨大的潜力。这篇综述文章介绍并概述了对话代理的类型、通用架构和工作流程、所采用的技术及其在慢性病自我管理中的应用。

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本文引用的文献

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kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-Management.kBot:用于哮喘自我管理的知识驱动型个性化聊天机器人。
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