Exploration of the promotion path of the smart elderly care model under the background of fewer children in the elderly
DOI: 10.23977/aetp.2024.080703 | Downloads: 49 | Views: 730
Author(s)
Zihan Hong 1, Jiayi Dong 1, Lina Zhang 1, Lin Zhang 1
Affiliation(s)
1 Institute of Psychology, Ningbo University, Ningbo, Zhejiang Province, 315211, China
Corresponding Author
Zihan HongABSTRACT
Regarding how to increase the acceptance and promotion scope of the smart elderly care model, this research adopted the questionnaire survey method and randomly selected elderly individuals aged over 60 in Ningbo as the survey subjects. Stratified regression was employed for data analysis. The results indicate that: (1) The majority (68.5%) of the elderly have a relatively high acceptance of companion robots, and this trend decreases with age (B = -0.083, p = 0.048); (2) Openness, initiative, family attitude, community assistance, and corporate donations can all significantly and positively predict the acceptance of companion robots by the elderly. (3) Taking companion robots as an example, the smart elderly care industry has a promising development outlook. In the future, it is necessary to boost the construction of smart elderly care in China from two perspectives: precisely positioning user profiles to develop more age-appropriate intelligent machines and integrating "family-community-enterprise" resources to construct an actor network for the smart elderly care model.
KEYWORDS
Silver hair technology, smart ageing, escort robots, Network of actors, elderlyCITE THIS PAPER
Zihan Hong, Jiayi Dong, Lina Zhang, Lin Zhang, Exploration of the promotion path of the smart elderly care model under the background of fewer children in the elderly. Advances in Educational Technology and Psychology (2024) Vol. 8: 16-24. DOI: http://dx.doi.org/10.23977/aetp.2024.080703.
REFERENCES
[1] Zhang Haomiao, Tan Hong. Innovative practice and optimization of health care services in smart communities: Based on local experience in Chengdu [J]. Journal of Chengdu University (Social Science Edition), 2024, (06): 15-30.
[2] Zuo Meiyun, Shen Yuanyanhang, Duan Ruirui. Research on Smart Elderly Care: Theoretical Review and Future Opportunities [J]. Population and Society, 2022, 38 (04): 3-14.
[3] Sun Qing, Liu Jiang. A literature review on smart elderly care based on Cite Space knowledge graph [J]. Foreign Trade and Economic Cooperation, 2024 (6): 42-45.
[4] Cui Kaichang, Liu Chunyan. 2022 Artificial Intelligence Elderly Care Services: Development Model and Implementation Path [J]. Chinese Journal of Gerontology, 42 (08): 2037-2044.
[5] Liu Zongming, Ge Bihui. 2018 Design of elderly home care robot based on QFD [J]. Journal of Graphic Science, 39 (4): 695-699.
[6] Hu Fan. 2019 Research on the Current Status and Countermeasures of Smart Elderly Care Development [J]. Economic Research Guide, (9): 49-50 108.
[7] Xu Liying, Yu Feng. 2020 Factors affecting robot acceptance [J]. Scientific Bulletin, 65 (6): 496-510.
[8] Jiang Mengdie, Li Jiajia, Dai Fumin. 2020 Research progress on the acceptance and influencing factors of assistive technologies among the elderly [J].Nursing Research, 34 (13): 2334-2338.
[9] Davis F D, 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology[J]. Management Information Systems Quarterly, 13(3): 319.
[10] Heerink M., 2011. Exploring the influence of age, gender, education and computer experience on robot acceptance by older adults[J]. In Human-Robot Interaction.
[11] Giuliani M., Scopelliti M., Fornara F., 2005. Elderly people at home: technological help in everyday activities[J]. In Robot and Human Interactive Communication.
[12] Wu Lei, Li Juan, 2021. A review of inclusive design and ethical research on elderly service robots [J]. Packaging Engineering, 42 (8): 20-29.
[13] Latikka R., Turja T., Oksanen A., 2019. Self-efficacy and acceptance of robots[J]. Computers in Human Behavior, 93: 157–163.
[14] Agarwal R., Prasad J., 1998. A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology[J]. Information Systems Research, 9(2): 204–215.
[15] Serenko A., 2008. A model of user adoption of interface agents for email notification[J]. Interacting With Computers, 20(4–5): 461–472.
[16] Ngo E.B., 2001. When Disasters and Age Collide: Reviewing Vulnerability of the Elderly[J]. Natural Hazards Review, 2: 80-89.
[17] Schafer M. H., Koltai J., 2014. Does Embeddedness Protect? Personal Network Density and Vulnerability to Mistreatment Among Older American Adults[J]. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 70(4): 597–606.
[18] Guo Xiuyan, Zhang Jingmin, Zhu Lei, etc, 2007. A Preliminary Study on Age Differences and Confidence Differences in Misleading Information Effect [J]. Applied Psychology, (4):291-296.
[19] Wang Meng, Liu Tingting. Construction of Grassroots Social Governance Community from the Perspective of Actor Network: A Case Study of H Community in Chengyang District, Qingdao City [J]. The Communist Party of China Qingdao Municipal Party School Journal of Qingdao University of Administration, 2024, (04): 94-99.
Downloads: | 44441 |
---|---|
Visits: | 1748238 |