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Personal, Social and Regulatory Factors Associated With Telecare Acceptance by Hong Kong Older Adults: An Indication of Governmental Role in Facilitating Telecare Adoption
Abstract
Telecare has the potential to tackle emerging problems in public healthcare resulting from the graying of population. This study aims to investigate the personal, social and regulatory factors associated with the telecare acceptance for older adults in Hong Kong. A structured questionnaire survey was administered to 110 seniors aged 60–80 years. The results revealed that older people prefer to use the products that they are familiar with. Seniors of very poor economic status are likely to use telecare service. Family and friends support, self-satisfaction, and social relationship are critical factors which positively influence telecare usage of older adults via influencing their perceived ease of use and perceived usefulness. Regulatory factor of perceived incentives positively associates with the attitude of older people toward telecare service, and in turn facilitates telecare usage. This is the first study which stressed that public regulations, such as incentive interventions, should be emphasized in promoting telecare acceptance.
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How to effectively apply new technologies in CBT for SAD has become a widely discussed topic in the academic community.
“How to effectively apply new technologies in CBT for SAD has become a widely discussed topic in the academic community [18].”
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Man, S. S., Guo, Y., Chan, A. H. S., & Zhuang, H. (2022) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi11110558 · Cited by 34
“Previous studies used SS to illustrate the acceptance of various technologies among older adults, such as VR exergames [50], smartphone technology [51], and Telecare [52].”
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Man, S. S., Wang, J., Chan, A. H. S., & Liu, L. (2026) · Ergonomics · doi:10.1080/00140139.2025.2473685 · Cited by 11
“For instance, taM was employed to elucidate why older adults in hong Kong accepted telecare technology (Peng et al. 2023). similarly, Zin et al. (2023) applied taM to explore the determinants of the use of digital health wearable devices among older populations. these studies highlighted the…”
HCI Research and Innovation in China: A 10-Year Perspective
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“Similarly, Peng et al. (2022) examined technology acceptance model of telecare based on results of the questionnaire survey.”
BackgroundUse Intention of Mobile Music and Audio Platforms Among Middle-Aged and Older Chinese Adults
Luan, X., & Zhong, R. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2338665 · Cited by 4
“Therefore, social influence is a critical factor that positively influences the technology usage of older adults (D € orr et al., 2013; Ma et al., 2021; Peng et al., 2023).”
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Yustikasari, Y., Baharuddin, T., Subekti, P., Anisa, R., & Dewi, R. (2025) · Jurnal Studi Komunikasi (Indonesian Journal of Communications Studies) · doi:10.25139/jsk.v9i1.9352 · Cited by 2
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Man, S. S., Wu, X., Chiu, K. T., Ma, Q., & Chan, A. H. S. (2026) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2026.2716566 · Cited by 1
Zhou, Z., Zhou, Y., Ouyang, B., Man, S. S., & Chan, A. H. S. (2026) · Healthcare · doi:10.3390/healthcare14131978
“How to effectively apply new technologies in CBT for SAD has become a widely discussed topic in the academic community [18].”
Man, S. S., Wang, J., Chen, J., & So, B. C. L. (2025) · Research Square · doi:10.21203/rs.3.rs-7304393/v1
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HSIEH, U. H. Y., Li, M., Chan, L. C., Fong, H. Y., Chen, K.-W., Ping Keung, C. H. A. N., Li, Y., Bennell, K. L., & Wen, C. (2026) · Osteoarthritis and Cartilage Open · doi:10.1016/j.ocarto.2026.100800
“Local evidence further suggests that HK older adults tend to adopt familiar devices only and show low uptake of newer telecare technologies, with acceptance strongly shaped by family support, economic status, and perceived government incentives [20].”
Yan, M., Deng, Y., Li, W., Zhang, M., Zhu, X., & Kwok, A. P. K. (2026) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2026.103958
Li, C., Zheng, C., & Lv, Z. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1847810
“In the healthcare field, the analysis of older adult technology acceptance behavior often relies on classic frameworks such as the Technology Acceptance Model (TAM) and the Technology Use and Adoption Theory (UTATU) (30, 42–45).”
InfluentialMan, S. S., Su, P., So, B. C. L., & Ng, S. S. M. (2026) · Ergonomics · doi:10.1080/00140139.2026.2738046
Metadata
- Authors
- Peng, L., Man, S. S., Chan, A. H. S., & Ng, J. Y. K.
- Affiliations
- Nanjing Agricultural University (CN)
- City University of Hong Kong (HK)
- Corresponding author
- Man, Siu Shing
- Venue
- International Journal of Human-Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 2022-04-20
- Volume
- 39
- Issue
- 5
- Pages
- 1059-1071
- ISSN
- 1044-7318 (ISSN-L)
- 1532-7590
- OpenAlex
- W4224252822
- Cited by
- 23
- References
- 56
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 7 · 2023: 1 · 2022: 1
- FWCI
- 6.68
- Type
- journal article
- Language
- en
- Update notices
- correction (2022-12-26)
- Open access
- closed
- Locations
- International Journal of Human-Computer Interaction (publishedVersion)
- Funders
- General Project of Philosophy and Social Science Research in Universities of Jiangsu China (2021SJA0060)
- Humanity and Social Science Funding of Fundamental Research Expenses of Central Government Higher Education of Nanjing Agricultural University (SKYC2021024)
- National Natural Science Foundation of China (71804007)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- telecare, technology acceptance, older adults, technology adoption, perceived ease of use, perceived usefulness, family and social support, economic status, government incentives, regulatory factors, population aging, Hong Kong
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