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arXiv 2105.09490cs.AIcs.HC
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多语言环境下基于AI的糖尿病护理会话Agent设计

Designing AI-based Conversational Agent for Diabetes Care in a Multilingual Context

University of Glasgow(格拉斯哥大学);Arizona State University(亚利桑那州立大学);National University Health System(国立大学医疗系统);National University of Singapore(新加坡国立大学)

Thuy-Trinh Nguyen, Kellie Sim, Anthony To Yiu Kuen, Ronald R. O'donnell, Suan Tee Lim, Wenru Wang, Hoang D. Nguyen

摘要:

会话代理(CA)代表了健康信息系统中的一个新兴研究领域,其中在赋予患者及时的信息和自然语言接口方面有很大的潜力。然而,在一般的医疗保健领域,特别是糖尿病护理领域,在建立关于设计CA的规定性知识方面的尝试有限。在本文中,我们进行了一个设计科学研究项目,并提出了三个设计原则,用于设计与人工智能(AI)相关的CA,以解决现有解决方案的局限性。此外,我们实例化了所提出的设计,并开发了AMANDA -一种基于AI的糖尿病护理多语言CA,采用最先进的技术来实现自然发音的本地化口音。我们采用平均意见分数和系统可用性量表来评估AMANDA的语音质量和可用性,分别。本文提供了一个蓝图,设计CA在糖尿病护理与具体的设计准则,可以扩展到其他医疗保健领域的从业者。

英文摘要:

Conversational agents (CAs) represent an emerging research field in health information systems, where there are great potentials in empowering patients with timely information and natural language interfaces. Nevertheless, there have been limited attempts in establishing prescriptive knowledge on designing CAs in the healthcare domain in general, and diabetes care specifically. In this paper, we conducted a Design Science Research project and proposed three design principles for designing health-related CAs that embark on artificial intelligence (AI) to address the limitations of existing solutions. Further, we instantiated the proposed design and developed AMANDA - an AI-based multilingual CA in diabetes care with state-of-the-art technologies for natural-sounding localised accent. We employed mean opinion scores and system usability scale to evaluate AMANDA's speech quality and usability, respectively. This paper provides practitioners with a blueprint for designing CAs in diabetes care with concrete design guidelines that can be extended into other healthcare domains.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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