A Social Robot in Home Care: Acceptability and Utility Among Community-Dwelling Older Adults.

IF 4.9 3区 医学 Q1 GERIATRICS & GERONTOLOGY
Innovation in Aging Pub Date : 2025-03-08 eCollection Date: 2025-01-01 DOI:10.1093/geroni/igaf019
Ivy Yan Zhao, Angela Yee Man Leung, Yaqi Huang, Yaqian Liu
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引用次数: 0

Abstract

Background and objectives: Social robots show great potential for delivering home-based aged care and supporting aging-in-place. This study aims to assess the acceptability of social robots in delivering home care to older adults across 7 domains: affective attitude, burden, perceived effectiveness, ethicality, intervention coherence, opportunity costs, and self-efficacy.

Research design and methods: This is a mixed-methods study. Thirty community-dwelling older adults, aged 51-88, engaged with a social robot, equipped with artificial intelligence and designed to interact with humans in a socially acceptable manner. The robot was operated 24/7 in participants' homes for 6 weeks. Descriptive analysis, latent growth mixture modeling, and thematic analysis were conducted for data analysis.

Results: Home-based robotic care was very well received. The average frequency of the use of different features of the robot was 23.4 times/person/day. Three trajectory groups of engagement in human-robot interactions were identified: those who are living alone or with an older spouse, with fair health and financial status were the most interactive group. Participants perceived the robot as user-friendly, manageable, and seamlessly integrated into their daily routine, such as reminding meal intake. The robot also reduced the stress of caregivers. It served as a companion and "good listener," ameliorating the feelings of loneliness, calming depressive emotions, and keeping participants informed about the outside world. Interestingly, participants believed that interacting with the robot enabled them to engage with contemporary technologies, acquire new skills, and showcase their fashion sense in front of friends.

Discussion and implications: Home-based robots are acceptable and manageable by older adults. Future studies should examine the effectiveness of home-based robotic care on enhancing the health-related outcomes of older adults. Clinical Trial Registration Number: NCT06487611.

家庭护理中的社交机器人:社区居住老年人的可接受性和效用。
背景和目标:社交机器人在提供家庭养老和支持就地养老方面显示出巨大的潜力。本研究旨在评估社交机器人在7个领域为老年人提供家庭护理的可接受性:情感态度、负担、感知有效性、伦理、干预一致性、机会成本和自我效能。研究设计和方法:这是一项混合方法研究。30名年龄在51岁至88岁之间的社区老年人与一个配备人工智能的社交机器人互动,该机器人被设计成以社会可接受的方式与人类互动。该机器人在参与者家中进行了为期6周的全天候操作。数据分析采用描述性分析、潜在生长混合模型和专题分析。结果:家庭机器人护理效果良好。使用机器人不同功能的平均频率为23.4次/人/天。研究人员确定了人机互动的三个轨迹组:那些独自生活或与年长配偶一起生活、健康和经济状况良好的人是互动最多的一组。参与者认为机器人对用户友好,易于管理,并且无缝地融入了他们的日常生活,例如提醒膳食摄入量。机器人还减轻了护理人员的压力。它充当了一个伴侣和“好的倾听者”,减轻了孤独感,平静了抑郁情绪,并让参与者了解了外部世界。有趣的是,参与者认为,与机器人互动使他们能够接触到当代科技,获得新技能,并在朋友面前展示自己的时尚感。讨论和启示:家庭机器人是老年人可以接受和管理的。未来的研究应该检查基于家庭的机器人护理对提高老年人健康相关结果的有效性。临床试验注册号:NCT06487611。
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来源期刊
Innovation in Aging
Innovation in Aging GERIATRICS & GERONTOLOGY-
CiteScore
4.10
自引率
0.00%
发文量
72
审稿时长
15 weeks
期刊介绍: Innovation in Aging, an interdisciplinary Open Access journal of the Gerontological Society of America (GSA), is dedicated to publishing innovative, conceptually robust, and methodologically rigorous research focused on aging and the life course. The journal aims to present studies with the potential to significantly enhance the health, functionality, and overall well-being of older adults by translating scientific insights into practical applications. Research published in the journal spans a variety of settings, including community, clinical, and laboratory contexts, with a clear emphasis on issues that are directly pertinent to aging and the dynamics of life over time. The content of the journal mirrors the diverse research interests of GSA members and encompasses a range of study types. These include the validation of new conceptual or theoretical models, assessments of factors impacting the health and well-being of older adults, evaluations of interventions and policies, the implementation of groundbreaking research methodologies, interdisciplinary research that adapts concepts and methods from other fields to aging studies, and the use of modeling and simulations to understand factors and processes influencing aging outcomes. The journal welcomes contributions from scholars across various disciplines, such as technology, engineering, architecture, economics, business, law, political science, public policy, education, public health, social and psychological sciences, biomedical and health sciences, and the humanities and arts, reflecting a holistic approach to advancing knowledge in gerontology.
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