社交机器人和传感器促进居家养老:以行动能力和社会经济因素为重点的混合方法研究。

IF 5 Q1 GERIATRICS & GERONTOLOGY JMIR Aging Pub Date : 2024-11-25 DOI:10.2196/63092
Roberto Vagnetti, Nicola Camp, Matthew Story, Khaoula Ait-Belaid, Suvobrata Mitra, Sally Fowler Davis, Helen Meese, Massimiliano Zecca, Alessandro Di Nuovo, Daniele Magistro
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引用次数: 0

摘要

背景:人口老龄化影响着社会,对社会经济地位低下和有运动障碍的老年人的日常活动产生了深远影响。社交辅助机器人(SAR)和监控技术可以通过协助和监控家庭活动来改善老年人的福祉:本研究探讨了老年人(包括有运动障碍和社会经济地位较低的老年人)对在家中使用社交辅助机器人和监控技术以促进日常活动和减少久坐行为的看法和需求:采用混合方法,将 31 名老年人分为三组:社会经济地位低的老年人、有运动障碍的老年人和健康人。进行了焦点小组讨论,并使用主题分析法对其进行了分析。采用 12 项简表健康调查对老年人的身心健康进行评估,采用多维机器人态度量表对老年人对机器人的态度进行评估:结果:在四个关键领域确定了 14 个主题:(1) 支持日常活动和减少久坐行为的技术使用,(2) 感知到的障碍,(3) 建议和偏好,(4) 实际家庭技术使用。较低的身体健康感知水平与较高的熟悉程度、兴趣、感知效用和控制有关。较低的心理健康感知水平与较消极的态度、对环境适应性的更多担忧以及对较少种类的偏好有关。值得注意的是,社会经济地位较低群体的老年人认为他们对合成孔径雷达的控制能力较弱,而与其他群体相比,有运动障碍的老年人认为合成孔径雷达的效用较高,与社会经济地位较低群体相比,他们对合成孔径雷达的熟悉程度和兴趣较高:参与者表示,通过协助管理日常活动,合成孔径雷达和监测技术有助于减少久坐行为。本研究结合这些结果以及在家庭中实施合成孔径雷达和监测技术的情况对结果进行了讨论。这项研究强调了考虑老年人作为合成孔径雷达和监测技术未来用户的功能和社会经济特征的重要性,以促进这一人群广泛采用合成孔径雷达和监测技术并改善其福祉。
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Social Robots and Sensors for Enhanced Aging at Home: Mixed Methods Study With a Focus on Mobility and Socioeconomic Factors.

Background: Population aging affects society, with a profound impact on daily activities for those of a low socioeconomic status and with motor impairments. Social assistive robots (SARs) and monitoring technologies can improve older adults' well-being by assisting with and monitoring home activities.

Objective: This study explored the opinions and needs of older adults, including those with motor difficulties and of a low socioeconomic status, regarding SARs and monitoring technologies at home to promote daily activities and reduce sedentary behaviors.

Methods: A mixed methods approach was used, with 31 older adults divided into 3 groups: those of a low socioeconomic status, those with motor difficulties, and healthy individuals. Focus groups were conducted, and they were analyzed using thematic analysis. Perceived mental and physical well-being were assessed using the 12-Item Short Form Health Survey, and attitudes toward robots were evaluated using the Multidimensional Robot Attitude Scale.

Results: The results identified 14 themes in four key areas: (1) technology use for supporting daily activities and reducing sedentary behaviors, (2) perceived barriers, (3) suggestions and preferences, and (4) actual home technology use. Lower perceived physical well-being was associated with higher levels of familiarity, interest, perceived utility, and control related to SARs. Lower perceived psychological well-being was linked to a more negative attitude, increased concerns about environmental fit, and a preference for less variety. Notably, older adults from the low-socioeconomic status group perceived less control over SARs, whereas older adults with motor difficulties expressed higher perceived utility compared to other groups, as well as higher familiarity and interest compared to the low-socioeconomic status group.

Conclusions: Participants indicated that SARs and monitoring technologies could help reduce sedentary behaviors by assisting in the management of daily activities. The results are discussed in the context of these outcomes and the implementation of SARs and monitoring technologies at home. This study highlights the importance of considering the functional and socioeconomic characteristics of older adults as future users of SARs and monitoring technologies to promote widespread adoption and improve well-being within this population.

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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
期刊最新文献
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