Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22613, first published .
Acceptance of Technologies for Aging in Place: A Conceptual Model

Acceptance of Technologies for Aging in Place: A Conceptual Model

Acceptance of Technologies for Aging in Place: A Conceptual Model

Journals

  1. Schütz N, Saner H, Botros A, Pais B, Santschi V, Buluschek P, Gatica-Perez D, Urwyler P, Müri R, Nef T. Contactless Sleep Monitoring for Early Detection of Health Deteriorations in Community-Dwelling Older Adults: Exploratory Study. JMIR mHealth and uHealth 2021;9(6):e24666 View
  2. Hvalič‐Touzery S, Dolničar V, Prevodnik K. Factors influencing informal carers' acceptance of assistive telecare systems in the pre‐ and post‐implementation phase: A scoping study. Health & Social Care in the Community 2022;30(5) View
  3. Fallah H, Nazari J, Choobineh A, Morowatisharifabad M, Jafarabadi M. Psychometric properties of the physical environment problems and barriers scale in older adults’ homes using an ergonomic approach. Work 2022;73(3):1011 View
  4. Lin-Hi N, Haensse L, Hollands L, Blumberg I. The role of ethics in technology acceptance: analysing resistance to new health technologies on the example of a COVID-19 contact-tracing app. Journal of Decision Systems 2024;33(1):164 View
  5. Bernardo J, Apóstolo J, Loureiro R, Santana E, Yaylagul N, Dantas C, Ventura F, Duque F, Jøranson N, Zechner M, Staalduinen W, De Luca V, Illario M, Silva R. eHealth Platforms to Promote Autonomous Life and Active Aging: A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(23):15940 View
  6. Tobis S, Piasek J, Cylkowska-Nowak M, Suwalska A. Robots in Eldercare: How Does a Real-World Interaction with the Machine Influence the Perceptions of Older People?. Sensors 2022;22(5):1717 View
  7. Yaddaden A, Spalla G, Gouin-Vallerand C, Briskie-Semeniuk P, Bier N. A Mixed Reality Cognitive Orthosis to Support Older Adults in Achieving Their Daily Living Activities: Focus Group Study With Clinical Experts. JMIR Rehabilitation and Assistive Technologies 2022;9(3):e34983 View
  8. Grguric A, Mosmondor M, Huljenic D. Integration and Deployment of Cloud-Based Assistance System in Pharaon Large Scale Pilots—Experiences and Lessons Learned. Electronics 2022;11(9):1496 View
  9. Kavčič M, Petrovčič A, Dolničar V. Model of Acceptance and Use of Market-Ready Home-Based e-Care Services: A Qualitative Study with Care Receivers and Informal Caregivers. International Journal of Human–Computer Interaction 2023;39(5):988 View
  10. Li X, Zhou Y, Liu Y, Wang X, Yuen K. Psychological antecedents of telehealth acceptance: A technology readiness perspective. International Journal of Disaster Risk Reduction 2023;91:103688 View
  11. Tobis S, Piasek-Skupna J, Suwalska A. The Godspeed Questionnaire Series in the Assessment of the Social Robot TIAGo by Older Individuals. Sensors 2023;23(16):7251 View
  12. Steenkamp N, Fisher R, Nesbit T. Understanding accounting students’ intentions to use digital badges to showcase employability skills. Accounting Education 2023:1 View
  13. Wang C, Lin F. Exploring Older Adults’ Willingness to Install Home Surveil-Lance Systems in Taiwan: Factors and Privacy Concerns. Healthcare 2023;11(11):1616 View
  14. Wrede C, Braakman-Jansen A, van Gemert-Pijnen L. Understanding acceptance of contactless monitoring technology in home-based dementia care: a cross-sectional survey study among informal caregivers. Frontiers in Digital Health 2023;5 View
  15. Fotteler M, Kocar T, Dallmeier D, Kohn B, Mayer S, Waibel A, Swoboda W, Denkinger M. Use and benefit of information, communication, and assistive technology among community-dwelling older adults – a cross-sectional study. BMC Public Health 2023;23(1) View
  16. Maidhof C, Offermann J, Ziefle M. Eyes on privacy: acceptance of video-based AAL impacted by activities being filmed. Frontiers in Public Health 2023;11 View
  17. Hosseini M, Thomas R, Pilutti L, Fallavollita P, Jutai J. Assessing virtual reality acceptance in long-term care facilities: a quantitative study with older adults. Disability and Rehabilitation: Assistive Technology 2023:1 View
  18. Hick S, Biermann H, Ziefle M. How deep is your trust? A comparative user requirements’ analysis of automation in medical and mobility technologies. Humanities and Social Sciences Communications 2024;11(1) View
  19. Kastl A, Rauner Y, Mayer-Huber S, Oestreich C, Benstetter F, Fettke U. Stakeholder needs assessment for developing ageing in place solutions – a qualitative study. BMC Geriatrics 2024;24(1) View
  20. Reyna P, McCart M, Powell L, Reyna K, Fowler R, Herth K, Glang A. Traumatic Brain Injury Training Program Value to Caregivers of Law Enforcement Officers, Fire Fighters and Veterans. Journal of Loss and Trauma 2024:1 View
  21. Mobasseri K, Matlabi H, Allahverdipour H, Kousha A. Home-based supportive and health care services based on functional ability in older adults in Iran. Journal of Education and Health Promotion 2024;13(1) View
  22. Kim S. Application and Challenges of the Technology Acceptance Model in Elderly Healthcare: Insights from ChatGPT. Technologies 2024;12(5):68 View
  23. Hosseini M, Thomas R, Pilutti L, Fallavollita P, Jutai J, Gu C. Acceptance of physical activity virtual reality games by residents of long-term care facilities: A qualitative study. PLOS ONE 2024;19(6):e0305865 View

Books/Policy Documents

  1. Fonseca X. Computer Science for Game Development and Game Development for Computer Science. View