Wang Zhe, Wang Yuhui, Zeng Yu, Su Jiayu, Li Zhirong
School of Architecture and Art, Central South University, Changsha, Hunan, 410083, China.
Sci Rep. 2025 May 23;15(1):17912. doi: 10.1038/s41598-025-02746-w.
With the aging population trend becoming increasingly pronounced, the health issues of elderly individuals living alone have become a focal point of societal concern. This study aims to investigate guardians of the elderly's acceptance of intelligent care systems for the elderly. This system integrates millimeter-wave radar and image recognition technologies to monitor the health status of seniors in real time and automatically alert their children in emergency situations. To evaluate the market acceptance of this emerging technology, we employed a Covariance-Based Structural Equation Modeling (CB-SEM) approach and constructed an acceptance model for the intelligent care system. Survey data were collected from 386 respondents in China. The results indicate that users of this system are more concerned with task completion rather than ease of use. Enhancements in information trust significantly promote perceived usefulness (PU), perceived ease of use (PEOU), and behavioral intention to use (BI). Individuals with higher risk perception sensitivity exhibit greater perceptions of the system's usefulness and ease of use. Aesthetics emerged as a significant factor influencing PU, PEOU, and BI, second only to information trust. When the system is perceived as well-designed, it is also deemed acceptable. An aesthetically pleasing system is not only considered useful but also easier to use. Interestingly, opinions from social circles did not directly impact BI or PEOU. they only influenced perceived usefulness. Moreover, higher privacy security requirements correlate with lower perceptions of the system's usefulness. Overall, improvements in perceived usefulness, information trust, and aesthetics significantly enhance user acceptance of the system. These findings provide theoretical support for developing more appealing intelligent care systems for the elderly and contribute new perspectives on understanding the key factors driving the adoption of such systems. Additionally, they enrich and refine the knowledge base within the TAM framework.
随着人口老龄化趋势日益明显，独居老年人的健康问题已成为社会关注的焦点。本研究旨在调查老年人的监护人对老年人智能护理系统的接受程度。该系统集成了毫米波雷达和图像识别技术，可实时监测老年人的健康状况，并在紧急情况下自动向他们的子女发出警报。为了评估这种新兴技术的市场接受度，我们采用了基于协方差的结构方程模型（CB-SEM）方法，并构建了智能护理系统的接受模型。调查数据收集自中国的386名受访者。结果表明，该系统的用户更关注任务的完成，而非易用性。信息信任的增强显著促进了感知有用性（PU）、感知易用性（PEOU）和使用行为意向（BI）。风险感知敏感性较高的个体对系统的有用性和易用性有更高的感知。美观性成为影响PU、PEOU和BI的一个重要因素，仅次于信息信任。当系统被认为设计良好时，它也被认为是可接受的。一个美观的系统不仅被认为有用，而且更容易使用。有趣的是，社交圈的意见并没有直接影响BI或PEOU，它们只影响了感知有用性。此外，更高的隐私安全要求与对系统有用性的较低感知相关。总体而言，感知有用性、信息信任和美观性的提升显著提高了用户对系统的接受度。这些发现为开发更具吸引力的老年人智能护理系统提供了理论支持，并为理解推动此类系统采用的关键因素提供了新的视角。此外，它们丰富和完善了技术接受模型（TAM）框架内的知识库。
