Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41935, first published .
Comprehensive Senior Technology Acceptance Model of Daily Living Assistive Technology for Older Adults With Frailty: Cross-sectional Study

Comprehensive Senior Technology Acceptance Model of Daily Living Assistive Technology for Older Adults With Frailty: Cross-sectional Study

Comprehensive Senior Technology Acceptance Model of Daily Living Assistive Technology for Older Adults With Frailty: Cross-sectional Study

Journals

  1. Kwan R, Yeung J, Lee J, Lou V. The association of technology acceptance and physical activity on frailty in older adults during the COVID-19 pandemic period. European Review of Aging and Physical Activity 2023;20(1) View
  2. Pacheco Lorenzo M, Lago Priego N, Fernández Iglesias M, Anido Rifón L, Otero-González I. Oral vs. Touch Interaction for Cognitive Assessment: Acceptance and Perceived Usability by Senior Adults. Electronics 2023;13(1):13 View
  3. Onseng P, Jiraporncharoen W, Moonkayaow S, Veerasirikul P, Wiwatkunupakarn N, Angkurawaranon C, Pinyopornpanish K. Expectation, Attitude, and Barriers to Receiving Telehomecare Among Caregivers of Homebound or Bedridden Older Adults: Qualitative Study. JMIR Aging 2024;7:e48132 View
  4. Lu S, Yoon S, Yee W, Heng Wen Ngiam N, Ng K, Low L. Experiences of a Community-Based Digital Intervention Among Older People Living in a Low-Income Neighborhood: Qualitative Study. JMIR Aging 2024;7:e52292 View
  5. Kim S. Application and Challenges of the Technology Acceptance Model in Elderly Healthcare: Insights from ChatGPT. Technologies 2024;12(5):68 View
  6. Sadler J, Khan A, Lwin M, Mubin O. Social Robots for Meaningful Seated Activities: Acceptance & Use by Older Adults. Healthcare 2024;12(13):1334 View
  7. Caridà A, Colurcio M, Edvardsson B. Leveraging TSR and social innovation for social inclusion via platforms. The Service Industries Journal 2024:1 View
  8. Ye A, Zhang R, Zhao H. Exploring the determinants of patients’ continuance intentions in online health communities from the network effects perspective. Health Informatics Journal 2024;30(4) View
  9. DeLange Martinez P, Tancredi D, Pavel M, Garcia L, Young H. Technology Acceptance Among Low-Income Asian American Older Adults: Cross-Sectional Survey Analysis. Journal of Medical Internet Research 2024;26:e52498 View
  10. Songkram N, Chootongchai S, Osuwan H, Thanapornsangsuth S. Unlocking the digital world: empowering seniors via lifelong learning through digital technology. Interactive Learning Environments 2025;33(5):3488 View
  11. Wong K, Teh P, Lim W, Lee S. Enhancing Older Adults’ Lives Through Positive Aging Perception, Quality-of-Life Enhancement, and Social Support to Drive Acceptance and Readiness Toward Indoor Assistive Technology: Cross-Sectional Study. JMIR Aging 2025;8:e59665 View
  12. Buawangpong N, Siviroj P, Pinyopornpanish K, Sirikul W. Transcultural Adaptation, Validation, Psychometric Analysis, and Interpretation of the 22-Item Thai Senior Technology Acceptance Model for Mobile Health Apps: Cross-Sectional Study. JMIR Aging 2025;8:e60156 View
  13. Wang Y, Li M, Chen N, Hou W, Zhang Y, Zhu M, Tang X. Older Adults' Perspectives on Adopting Smart Home Technology for ‘Proactive Health’: A Qualitative Study. Journal of Advanced Nursing 2025 View
  14. Sadler J, Khan A, Mubin O, Lwin M. Exploratory Research With a Health Consumer Group on Social Robot Use Among Older Adults: Qualitative Study. JMIR Human Factors 2025;12:e70462 View
  15. De la Peña-López I, Acosta-Gonzaga E. Adoption of Technology in Older Adults in Mexico City: An Approach from the Technology Acceptance Model. Brain Sciences 2025;15(6):632 View
  16. Hamasaki T, Briand C, Mahroug A, Sauvageau A. Digital health technology adoption factors: a rapid review of systematic reviews and checklist development. Disability and Rehabilitation: Assistive Technology 2025:1 View
  17. Kanimozhi R, Padmavathi V, Ramesh P. Perceived digital threats influencing smartphone use among the aging population. Scientific Reports 2025;15(1) View
  18. Al-Tamimi A, Hewitt L, Cameron D, Salem M, Moemeni A. Challenges of Integrating Assistive Technologies and Robots with Embodied Intelligence in the Homes of Older People Living with Frailty. Applied Sciences 2025;15(15):8415 View
  19. Chopvitayakun S, Rattanasiriwongwut M, Ketcham M. Factors influencing mobile platform adoption for nutritional tracking among Thai elderly: A unified UTAUT and STAM approach. Journal of Open Innovation: Technology, Market, and Complexity 2025;11(3):100606 View
  20. Li J, Me R, Fakhruddin N, Ahmad F, Zhu Q. Investigating the needs of older adults with type 2 diabetes and conceptualizing a healthy diet management application: a conceptual design. BMC Geriatrics 2025;25(1) View
  21. Song J, Yang B, Desai M, Tao Z, Peng L. Facilitators and barriers to mobile health adoption among older adults with hip fractures: A systematic review. DIGITAL HEALTH 2025;11 View
  22. Zheng W, Cheung S, Wang X. Developing age-friendly spaces through a gerontechnological lens: a systemic framework based on FDM-DANP analysis. Frontiers in Medicine 2025;12 View
  23. Zhou K, Kim J, Choi H. A person-centred, latent profile analysis of assistive technology needs among autistic adults in employment. Disability and Rehabilitation: Assistive Technology 2025:1 View
  24. Jaana M, Lévesque Ryan M, Tamim H, Riachy E, Paré G. Perspectives of Older Adults on Assistive Technology: Qualitative Study. JMIR Human Factors 2025;12:e74214 View
  25. Li J, Che Me R, Ahmad F, Zhu Q. Development and validation of an ageing-oriented smart products design framework based on technology acceptance model (TAM). Disability and Rehabilitation: Assistive Technology 2025:1 View

Conference Proceedings

  1. Sanchez A, Mihailidis A. 2024 IEEE International Symposium on Technology and Society (ISTAS). AI-Enabled Independence for Aging Populations: From Home-Based Reminder Systems to Global Assistive Technologies View