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香港和新加坡单身老年人对社交机器人(乐沃)的技术接受度:一项多方法研究的方案

Technology Acceptance of a Social Robot (LOVOT) Among Single Older Adults in Hong Kong and Singapore: Protocol for a Multimethod Study.

作者信息

Tan Cheng Kian Kelvin, Lou Vivian W Q, Cheng Clio Yuen Man, He Phoebe Chu, Mor Yan Ying

机构信息

Singapore University of Social Sciences, Singapore, Singapore.

Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong, Hong Kong.

出版信息

JMIR Res Protoc. 2023 Aug 17;12:e48618. doi: 10.2196/48618.

Abstract

BACKGROUND

Given the rapidly aging nature of our global population, policy makers around the world are now emphatically promoting active aging. To address the psychosocial needs of older persons and support active aging, researchers are exploring the use of assistive technologies, specifically social robots as companions. However, there is limited evidence on the efficacy of social robots in promoting active aging for older people in the Hong Kong and Singapore contexts.

OBJECTIVE

This study presents the protocol of a study that investigates the acceptance and quality of interaction between a Japanese social robot, LOVOT, and single older adults in Hong Kong and Singapore.

METHODS

We used a baseline assessment to measure the primary outcome, participants' acceptance of technology, and a sense of loneliness, namely, the participants' differences in responses to LOVOT before and following their interaction with the social robot in this multimethod study design. The baseline assessment consisted of the Qualtrics survey, which measures senior technology acceptance, loneliness, older people's quality of life, subjective happiness, cultural values, willingness to pay, and demographic characteristics, along with the LOVOT's sociability and system usability. In the study, participants interacted with LOVOT in 3 sessions before being surveyed to measure the older people's acceptance and attitudes toward LOVOT. A pre-social robot intervention also occurred in the first session. The study was conducted in both Hong Kong and Singapore. A total of 15 single older adults (ie, individuals who live alone) from Hong Kong and another 15 from Singapore were recruited. Participants were 60-75 years of age, lived by themselves, and had no known cognitive or mental issues.

RESULTS

The study began recruiting in March 2022, and recruitment was completed at the end of October 2022. Data collection and data set construction were completed at the end of January 2023. Analysis of the data is currently being conducted, and we plan to publish the results by mid-2023.

CONCLUSIONS

At an individual level, the study will clarify if LOVOT influences single older adults' psychosocial well-being by reducing their loneliness. At a community level, the study's findings will illustrate whether LOVOT can provide increased social connectedness while decreasing individual loneliness. Last, this study's conclusions can inform policy makers to provide social robots to older people to improve their quality of life. Findings can also inform gerontechnology developers on which aspects and cultural considerations to take into account for future inventions.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/48618.

摘要

背景

鉴于全球人口迅速老龄化的现状,世界各地的政策制定者正在大力推动积极老龄化。为满足老年人的心理社会需求并支持积极老龄化,研究人员正在探索使用辅助技术,特别是将社交机器人作为陪伴工具。然而,在香港和新加坡的背景下,关于社交机器人促进老年人积极老龄化效果的证据有限。

目的

本研究介绍了一项调查日本社交机器人LOVOT与香港和新加坡单身老年人之间的接受度和互动质量的研究方案。

方法

在这项多方法研究设计中,我们使用基线评估来测量主要结果、参与者对技术的接受度和孤独感,即参与者在与社交机器人互动前后对LOVOT反应的差异。基线评估包括Qualtrics调查,该调查测量老年人对技术的接受度、孤独感、老年人的生活质量、主观幸福感、文化价值观、支付意愿和人口统计学特征,以及LOVOT的社交性和系统可用性。在研究中,参与者在接受调查之前与LOVOT进行了3次互动,以测量老年人对LOVOT的接受度和态度。在第一次互动中还进行了社交机器人干预前的操作。该研究在香港和新加坡两地进行。共招募了15名来自香港的单身老年人(即独自生活者)和另外15名来自新加坡的单身老年人。参与者年龄在60至75岁之间,独自生活,且无已知的认知或精神问题。

结果

该研究于2022年3月开始招募,2022年10月底完成招募。数据收集和数据集构建于2023年1月底完成。目前正在进行数据分析,我们计划在2023年年中公布结果。

结论

在个体层面,该研究将阐明LOVOT是否通过减少孤独感来影响单身老年人的心理社会幸福感。在社区层面,该研究的结果将说明LOVOT是否能在减少个体孤独感的同时增强社会联系。最后,本研究的结论可为政策制定者提供信息,以便为老年人提供社交机器人以改善他们的生活质量。研究结果还可为老年技术开发者提供信息,使其在未来的发明中考虑哪些方面和文化因素。

国际注册报告识别号(IRRID):DERR1-10.2196/48618

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9957/10472167/460921c83fed/resprot_v12i1e48618_fig1.jpg

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