The Effects of Physical Health-Related Characteristics of Elderly Living Alone on Attitudes Towards Using AI Speakers

AI speakers provide personalized care for elderly individuals who live alone. These devices, which utilize AI technology, assist with daily tasks and enhance emotional and functional well-being. To effectively utilize AI speakers, it is crucial to understand the attitudes of the elderly towards these devices. Given that many elderly individuals living alone experience emotional difficulties, they are the primary target audience for AI speakers. However, there is a lack of research exploring their attitudes towards using AI speakers and the impact it has on them. Therefore, this study aims to examine the influence of physical health-related characteristics on the attitudes of elderly individuals living alone towards using AI speakers. The study utilized descriptive statistics analysis, correlation analysis, and regression analysis with the SPSS 26.0 program. The participants included 150 low-income elderly individuals living alone who were involved in the AI speaker care service project within the community integrated care pilot project area. The findings reveal that the number of chronic diseases is the most significant variable that commonly affects attitudes towards using AI speakers, including enjoyment, privacy concerns, reliability, and personification. By analyzing the results of this study, we can identify ways to assist elderly individuals living alone in effectively using AI speakers in the future and discuss the implications of these findings.