Simulation of Complex Systems Lab, Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo 277-8563, Japan.
AI-UX Design Research Institution, Advanced Institute of Industrial Technology, 10-40 Higashi-Oi 1-Chome, Shinagawa, Tokyo 140-0011, Japan.
Int J Environ Res Public Health. 2024 Sep 3;21(9):1170. doi: 10.3390/ijerph21091170.
In recent years, an increasing number of studies have begun to use conversational data in spontaneous speech to estimate cognitive function in older people. The providers of spontaneous speech with older people used to be physicians and licensed psychologists, but it is now possible to have conversations with fully automatic AI agents. However, it has not yet been clarified what differences exist in conversational communication with older people when the examiner is either a human or an AI agent. In this study, elderly people living in the community and attending a silver human resource center and a day service center were the subjects. Dialogues were conducted using generic interview items for estimating cognitive function through daily conversation, which were developed through research on estimation methods for cognitive function. From the data obtained from the dialogues, we compared the effects of human-AI interaction on the number of utterances, speaking time, and silence time. This study was conducted at a facility in Japan and included 32 subjects (12 males and 20 females). The results showed significant differences between human and AI dialogue in the number of utterances and silent time. This study suggests the effectiveness of AI in communication with older people and explores the possibility of using AI in social welfare.
近年来，越来越多的研究开始使用会话数据来评估老年人的认知功能。与老年人进行自然语言对话的提供者曾经是医生和持照心理学家，但现在也可以与全自动人工智能代理进行对话。然而，当测试者是人类还是人工智能代理时，在与老年人的会话交流中存在哪些差异，目前还不清楚。在这项研究中，社区中的老年人、银发人力资源中心和日间服务中心的老年人是研究对象。通过对认知功能评估方法的研究，开发了通过日常对话评估认知功能的通用访谈项目，并使用这些项目进行对话。从对话中获得的数据中，我们比较了人机交互对言语次数、说话时间和沉默时间的影响。本研究在日本的一个设施中进行，共纳入 32 名受试者（男性 12 名，女性 20 名）。结果表明，在言语次数和沉默时间方面，人与人工智能的对话存在显著差异。本研究表明了人工智能在与老年人交流中的有效性，并探索了在社会福利中使用人工智能的可能性。
