Giunti G, Isomursu M, Gabarron E, Solad Y
University of Oulu, Oulu, Finland.
TU Delft, Delft, Netherlands.
Stud Health Technol Inform. 2021 Dec 15;284:259-263. doi: 10.3233/SHTI210719.
Advances in voice recognition, natural language processing, and artificial intelligence have led to the increasing availability and use of conversational agents (chatbots) in different settings. Chatbots are systems that mimic human dialogue interaction through text or voice. This paper describes a series of design considerations for integrating chatbots interfaces with health services. The present paper is part of ongoing work that explores the overall implementation of chatbots in the healthcare context. The findings have been created using a research through design process, combining (1) literature survey of existing body of knowledge on designing chatbots, (2) analysis on state-of-the-practice in using chatbots as service interfaces, and (3) generative process of designing a chatbot interface for depression screening. In this paper we describe considerations that would be useful for the design of a chatbot for a healthcare context.
语音识别、自然语言处理和人工智能的进步，已促使对话代理（聊天机器人）在不同场景中的可用性和使用频率不断提高。聊天机器人是通过文本或语音模仿人类对话交互的系统。本文描述了将聊天机器人界面与健康服务集成的一系列设计考量。本论文是正在进行的一项工作的一部分，该工作探索了聊天机器人在医疗保健环境中的整体实施情况。研究结果是通过设计研究过程得出的，结合了：（1）关于聊天机器人设计的现有知识体系的文献调查；（2）将聊天机器人用作服务界面的实践现状分析；以及（3）用于抑郁症筛查的聊天机器人界面的生成过程。在本文中，我们描述了对医疗保健环境中聊天机器人设计有用的考量因素。
