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arXiv Machine Learning · 2026/8/3 15:52:22

Human-Centered Reflections on Care Robots: A Comparative Study of Caregiver Perspectives

AI 中文解读
一项针对看护机器人的最新研究显示,不同国家的护理人员对这类技术整体持欢迎态度,尤其青睐那些能搬运物资、帮病人翻身、监测生命体征和协助行动等“体力活”机器人,而对需要情感交流的任务则保留态度。研究团队调查了美、墨、智利三国的298名护理人员,发现大家最看重的实际好处是减轻工作负担、降低安全风险,并帮助病人更独立。但与此同时,他们也担心机器是否可靠、必须有人监督,以及会不会导致护理岗位流失。有趣的是,虽然各国护理人员提出的伦理担忧大体相似,但侧重点各不相同。这说明,开发看护机器人不能“一刀切”,需要结合不同社会的文化背景和实际使用场景,才能设计出真正被接纳、负责任的护理助手。对普通人来说,这意味着未来医院或养老院中的机器人将更贴近现实需求,而不会简单取代人类护工。
Care robots are increasingly being introduced into healthcare settings, raising important questions about their acceptance and ethical implementation. To better understand these challenges, this study investigates caregivers' perceptions of four categories of care robots: delivering supplies, helping patients into bed, monitoring vital signs, and assisting with mobility. We conducted a mixed-methods study employing a mixed-factorial design in which 298 caregivers from the United States, Mexico, and Chile evaluated all four robot categories. Quantitative measures integrated constructs from the Unified Theory of Acceptance and Use of Technology, the Cognitive-Affective-Normative model, and overall acceptance ratings. Qualitative data were collected through open-ended questions and analyzed using a literature-informed ethical framework. The results indicate that participants across countries generally evaluated care robots positively, particularly for logistical and physically demanding tasks rather than those requiring intensive interpersonal interaction. The qualitative findings provide further insight into stakeholders' views of the ethical implications of care robot use. Participants emphasized potential benefits such as reduced workload, lower risk, and greater patient autonomy, while also expressing concerns about dependability, the need for human oversight, and potential job displacement. Although many ethical concerns were shared across countries, participants differed in how they interpreted and prioritized them. These findings advance a context-sensitive and socially informed understanding of responsible design and implementation of care robots.
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