Identifying Preferred Appearance and Functional Requirements of Aged Care Robots Among Older Chinese Immigrants: Cross-Sectional Study

Author:

Chiu Ching-JuORCID,Lo Yi-HsuanORCID,Montayre JedORCID,Abu-Odah HammodaORCID,Chen Mei-LanORCID,Zhao Ivy YanORCID

Abstract

Abstract Background Older Chinese immigrants constitute the largest older Asian ethnic population in New Zealand. Aging in a foreign land can be complex, presenting increasing challenges for gerontology scholars, practitioners, and policy makers. Older Chinese immigrants are more susceptible to experiencing loneliness and social isolation compared to native older people, primarily due to language, transportation, and cultural barriers. These factors subsequently impact their physical and mental health. With advancements in robotic technology, aged care robots are being applied to support older people with their daily living needs. However, studies on using robots with older immigrants living in the community are sparse. Their preferences for the appearance and function of aged care robots are unclear, which impacts the acceptance and usability of robots, highlighting the need for a user-centered design approach. Objective This study aims to explore older Chinese immigrants’ needs and preferences toward the appearance and function of aged care robots and to examine their relationships with the demographic characteristics of participants. Methods A cross-sectional design was used in this study, which was undertaken between March and May 2020. A total of 103 participants completed a web-based survey. Results The average age of participants was 68.7 (SD 5.5) years. The results suggest that 41.7% (n=43) of the 103 participants preferred a humanlike adult appearance, while 32% (n=33) suggested an animallike appearance. These participants reported higher scores in both rigorousness and friendliness compared to others who preferred different robot appearances. Participants expressed a greater preference for the functions of housework assistance (n=86, 83.5%), language translation (n=79, 76.7%), health monitoring (n=78, 75.7%), facial expressions (n=77, 74.8%), news reading (n=66, 64.1%), and security monitoring (n=65, 63.1%). These preferences were found to be significantly associated with marital status, financial status, and duration of immigration. Conclusions To support immigrant populations to age well in a foreign country and address the growing shortage of health and social professionals, it is important to develop reliable robotic technology services that are tailored based on the needs and preferences of individuals. We collected and compared the perspectives of immigrant and nonimmigrant participants on using robots to support aging in place. The results on users’ needs and preferences inform robotic technology services, indicating a need to prioritize older Chinese immigrants’ preference toward aged care robots that perform housework assistance, language translation, and health and safety monitoring, and robots with humanlike features.

Publisher

JMIR Publications Inc.

Subject

Geriatrics and Gerontology,Health Informatics,Gerontology,Health (social science)

Reference23 articles.

1. Chinese late-life immigrants’ loneliness and social isolation in host countries: an integrative review;Zhao;J Clin Nurs

2. Department of Economic and Social Affairs. Migration and population change - drivers and impacts. United Nations. Dec2017. URL: https://www.un.org/en/development/desa/population/migration/publications/populationfacts/docs/MigrationPopFacts20178.pdf [Accessed 30-10-2023]

3. 2018 census totals by topic – national highlights (updated). Stats NZ. Apr30, 2020. URL: https://www.stats.govt.nz/information-releases/2018-census-totals-by-topic-national-highlights [Accessed 30-10-2023]

4. 2013 census ethnic group profiles. Stats NZ. 2014. URL: https://www.stats.govt.nz/tools/2013-census-ethnic-group-profiles/ [Accessed 13-08-2021]

5. Older adults’ experiences and perceptions of living with Bomy, an assistive dailycare robot: a qualitative study;Gasteiger;Assist Technol

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3