Factors Affecting Elder Generation’ Satisfaction With Smart Care in China

Yan XUE, Qiong NIE

Abstract


The process of digital modernization in the area of smart care, driven by smart care, has produced tremendous respect and better life for elders throughout the world. In an environment where the population is getting older, elder care has drawn social attention in China. Encouraging the elderly to engage with the smart care system and live improved quality of life have become social priority. We aimed to analyse the needs of elder generation in care and to explore the factors affecting elder generation’s satisfaction with smart care in China. It conducted a quantitative study of 114 respondents’ satisfaction with smart care by using a survey method. The results show that smart care has attracted increasing attention among the elder generation in the past few years. The focus of the thesis is about issues and analysis of shift concerning elders’ satisfaction with smart care. The results of the study fill the gap that was identified. Therefore, according to the research results, changes can be made in robot design, age-friendly interaction, data monitoring, reliability, easy operation and reaction time to meet the needs and expectations of care for the elder generation.


Keywords


Smart care; Elder generation; Satisfaction; Digital modernization

Full Text:

PDF

References


Anghel, I., et al. (2020). Smart Environments and Social Robots for Age-Friendly Integrated Care Services. International Journal of Environmental Research and Public Health (IJERPH), 17(11), 3801. DOI:10.3390/ijerph17113801

Badal, V. D., et al. (2020). The Gut Microbiome, Aging, and Longevity: A Systematic Review. Nutrients, 12(12), 3759. https://doi.org/10.3390/nu12123759

Bardaro, G., Antonini, A., & Motta, E. (2022). Robots for Elderly Care in the Home: A Landscape Analysis and Co-Design Toolkit. International Journal of Social Robotics, 14, 657-681. https://doi.org/10.1007/s12369-021-00816-3

Cao, C., Dai, H., & Li, D. (2023). How to promote the healthy development of continuous participation in smart medical and elderly care systems: The dual perspective of perceived value and risk. Digital Health, 9, 1-16. https://doi.org/10.1177/20552076231197425

Do, N. B., & Do, H. N. T. (2020). An investigation of Generation Z’s Intention to use Electronic Wallet in Vietnam. Journal of Distribution Science, 18(10), 89-99.

Dorociak, K. E., et al. (2021). The Survey for Memory, Attention, and Reaction Time (SMART): Development and Validation of a Brief Web-Based Measure of Cognition for Older Adults. Technological Section: Research Article, 67, 740-752. https://doi.org/10.1159/000514871

Hartmann, M., Hashmi, U. S., & Imran, A. (no date). (2019). Edge Computing in Smart Health Care Systems: Review, Challenges and Research Directions. Transactions on Emerging Telecommunications Technologies, 33(3). https://doi.org/10.1002/ett.3710

Hine, C., Nilforooshan, R., & Barnaghi, P. (2022). Ethical considerations in design and implementation of home-based smart care for dementia. Nurs Ethics, 29(4), 1035-1046. doi: 10.1177/09697330211062980.

Jo, T. H., Ma, J. H., & Cha, S. H. (2021). Elderly Perception on the Internet of Things-Based Integrated Smart-Home System. Sensors, 21, 1284. https://doi.org/10.3390/s21041284

Ju, S.-W. (2021). The Effect of Visit Exhibition Experience and Virtual Exhibition Experience on Experience Satisfaction and Purchase Intention. Journal of Advanced Researches and Reports, 1(2), 1-8.

Kung, H. M. J., & Yi, C. C. (2019). The impact of modernization on elder-care: The case of Taiwan. Families as Educators for Global Citizenship, 37(6), 12-12.

Li, J. X. (2021). Data-based travel hotel tourist satisfaction evaluation model. Journal of Shangqui Normal University, 37(6).

Lin, G. Y., Ruan, J. H., & Wang, Y. S. (2023). Factors Affecting Family Caregivers’ Behavioral Intention to Use Socially Assistive AI Robots for Elderly Care Within Their Own Home Environment. International Journal of Human-Computer Interaction. DOI: 10.1080/10447318.2023.2263247

Liu, K. F., & Tao, D. (2022). The roles of trust, personalization, loss of privacy, and anthropomorphism in public acceptance of smart healthcare services. Computers in Human Behavior, 127. https://doi.org/10.1016/j.chb.2021.107026

Liu, L. Y., Xiang, Z., Liu, Y. Y., Zach, F. J., & McGehee, N. (2020). Factors Influencing Exhibitor Satisfaction and Loyalty: A Meta-Analysis on the Chinese Exhibition Market. Sustainability, 12(20), 8390. https://doi.org/10.3390/su12208390

Liu, X. Y., Chau, K. Y., Liu, X. X., & Wan, Y. (2023). The Progress of Smart Elderly Care Research: A Scientometric Analysis Based on CNKI and WOS. International Journal of Environmental Research and Public Health, 20(2), 1086. https://doi.org/10.3390/ijerph20021086

Maswadi, K., Ghani, N. A., & Hamid, S. (Aug 30, 2022). Factors influencing the elderly’s behavioural intention to use smart home technologies in Saudi Arabia. PLoS One, 17(8), e0272525. doi: 10.1371/journal.pone.0272525. PMID: 36040877; PMCID: PMC9426941.

Okafora, K. C., & Longe, O. M. (2022). Smart Deployment of IoT-TelosB Service Care StreamRobot Using Software-Defined Reliability Optimization Design. Heliyon, 8. DOI:10.1016/j.heliyon.2022.e09634

Thomas, A. M., Moore, P., Evans, C., Shah, H., Sharma, M., Mount, S., Xhafa, F., Pham, H. V., Barolli, L., Patel, A., Wilcox, A. J., Chapman, C., & Chima, P. (2014). Smart care spaces: Pervasive sensing technologies for at-home care. International Journal of Ad Hoc and Ubiquitous Computing, 16(4), 268-282. https://doi.org/10.1504/IJAHUC.2014.064862

Vasić, N., Kilibarda, M., & Kaurin, T. (2019). The Influence of Online Shopping Determinants on Customer Satisfaction in the Serbian Market. Journal of Theoretical and Applied Electronic Commerce Research, 14(2). DOI:10.4067/S0718-18762019000200107




DOI: http://dx.doi.org/10.3968/13586

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Canadian Social Science

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Reminder

  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

1. Register yourself in Journal B as an Author

  • Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.

2. Submission

Online Submission: http://cscanada.org/index.php/css/submission/wizard

  • Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.
  • We only use four mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases: caooc@hotmail.com; office@cscanada.net; ccc@cscanada.net; ccc@cscanada.org

 Articles published in Canadian Social Science are licensed under Creative Commons Attribution 4.0 (CC-BY).

 

Canadian Social Science Editorial Office

Address: 1020 Bouvier Street, Suite 400, Quebec City, Quebec, G2K 0K9, Canada.
Telephone: 1-514-558 6138 
Website: Http://www.cscanada.net; Http://www.cscanada.org 
E-mail:caooc@hotmail.com; office@cscanada.net

Copyright © Canadian Academy of Oriental and Occidental Culture