Sørensen Linda, Sagen Johannesen Dag Tomas, Melkas Helinä, Johnsen Hege Mari
Department of Health and Nursing Science, Faculty of Health and Sport Sciences, University of Agder, Kristiansand, Norway.
Lappeenranta-Lahti University of Technology, Industrial Engineering and Management, LUT School of Engineering Science, Lahti, Finland.
JMIR Rehabil Assist Technol. 2025 Jan 13;12:e63641. doi: 10.2196/63641.
Health care is shifting toward 5 proactive approaches: personalized, participatory, preventive, predictive, and precision-focused services (P5 medicine). This patient-centered care leverages technologies such as artificial intelligence (AI)-powered robots, which can personalize and enhance services for users with disabilities. These advancements are crucial given the World Health Organization's projection of a global shortage of up to 10 million health care workers by 2030.
This study aimed to investigate the acceptance of a humanoid assistive robot among users with physical disabilities during (1) AI-powered (using a Wizard of Oz methodology) robotic performance of predefined personalized assistance tasks and (2) operator-controlled robotic performance (simulated distant service).
An explorative qualitative design was used, involving user testing in a simulated home environment and individual interviews. Directed content analysis was based on the Almere model and the model of domestic social robot acceptance.
Nine participants with physical disabilities aged 27 to 78 years engaged in robot interactions. They shared their perceptions across 7 acceptance concepts: hedonic attitudes, utilitarian attitudes, personal norms, social norms, control beliefs, facilitating conditions, and intention to use. Participants valued the robot's usefulness for practical services but not for personal care. They preferred automation but accepted remote control of the robot for some tasks. Privacy concerns were mixed.
This study highlights the complex interplay of functional expectations, technological readiness, and personal and societal norms affecting the acceptance of physically assistive robots. Participants were generally positive about robotic assistance as it increases independence and lessens the need for human caregivers, although they acknowledged some current shortcomings. They were open to trying more home testing if future robots could perform most tasks autonomously. AI-powered robots offer new possibilities for creating more adaptable and personalized assistive technologies, potentially enhancing their effectiveness and viability for individuals with disabilities.
医疗保健正在朝着5种积极主动的方式转变:个性化、参与式、预防性、预测性和精准聚焦型服务(P5医学)。这种以患者为中心的护理利用了诸如人工智能驱动的机器人等技术,这些机器人可以为残疾用户提供个性化服务并提升服务质量。鉴于世界卫生组织预计到2030年全球将短缺多达1000万名医护人员,这些进步至关重要。
本研究旨在调查身体残疾用户在(1)人工智能驱动(使用奥兹巫师方法)的机器人执行预定义的个性化协助任务过程中以及(2)操作员控制的机器人性能(模拟远程服务)期间对人形辅助机器人的接受程度。
采用探索性定性设计,包括在模拟家庭环境中的用户测试和个人访谈。定向内容分析基于阿尔梅勒模型和家用社交机器人接受度模型。
9名年龄在27至78岁之间的身体残疾参与者参与了机器人交互。他们在7个接受概念上分享了自己的看法:享乐态度、功利态度、个人规范、社会规范、控制信念、便利条件和使用意图。参与者重视机器人在实际服务中的有用性,但不重视其在个人护理方面的作用。他们更喜欢自动化,但接受在某些任务中对机器人进行远程控制。对隐私的担忧各不相同。
本研究强调了功能期望、技术准备情况以及影响身体辅助机器人接受度的个人和社会规范之间的复杂相互作用。参与者总体上对机器人辅助持积极态度,因为它增加了独立性并减少了对人类护理人员的需求,尽管他们承认目前存在一些缺点。如果未来的机器人能够自主执行大多数任务,他们愿意尝试更多的家庭测试。人工智能驱动的机器人为创造更具适应性和个性化的辅助技术提供了新的可能性,有可能提高其对残疾人士的有效性和可行性。