The DOI matches its Crossref record; 67 of the 69 references it cites were found in a registry or an index.
Factors influencing acceptance of technology for aging in place: A systematic review
Open accessAbstract
PURPOSE: To provide an overview of factors influencing the acceptance of electronic technologies that support aging in place by community-dwelling older adults. Since technology acceptance factors fluctuate over time, a distinction was made between factors in the pre-implementation stage and factors in the post-implementation stage. METHODS: A systematic review of mixed studies. Seven major scientific databases (including MEDLINE, Scopus and CINAHL) were searched. Inclusion criteria were as follows: (1) original and peer-reviewed research, (2) qualitative, quantitative or mixed methods research, (3) research in which participants are community-dwelling older adults aged 60 years or older, and (4) research aimed at investigating factors that influence the intention to use or the actual use of electronic technology for aging in place. Three researchers each read the articles and extracted factors. RESULTS: Sixteen out of 2841 articles were included. Most articles investigated acceptance of technology that enhances safety or provides social interaction. The majority of data was based on qualitative research investigating factors in the pre-implementation stage. Acceptance in this stage is influenced by 27 factors, divided into six themes: concerns regarding technology (e.g., high cost, privacy implications and usability factors); expected benefits of technology (e.g., increased safety and perceived usefulness); need for technology (e.g., perceived need and subjective health status); alternatives to technology (e.g., help by family or spouse), social influence (e.g., influence of family, friends and professional caregivers); and characteristics of older adults (e.g., desire to age in place). When comparing these results to qualitative results on post-implementation acceptance, our analysis showed that some factors are persistent while new factors also emerge. Quantitative results showed that a small number of variables have a significant influence in the pre-implementation stage. Fourteen out of the sixteen included articles did not use an existing technology acceptance framework or model. CONCLUSIONS: Acceptance of technology in the pre-implementation stage is influenced by multiple factors. However, post-implementation research on technology acceptance by community-dwelling older adults is scarce and most of the factors in this review have not been tested by using quantitative methods. Further research is needed to determine if and how the factors in this review are interrelated, and how they relate to existing models of technology acceptance.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Some older adults will perceive a technology as being more relevant for other elderly people with more extensive functional impairments56 and be less motivated to use it themselves.”
From Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review (2018) · cites this paper as [56]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Engaging older adults in a preimplementation study thus risks obtaining a “prototypical result,” according to Peek et al (2014).56”
From Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review (2018) · cites this paper as [56]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“This is in line with Peek et al (2014, p. 242), who found that a perceived personal need for technology was the most frequent factor mentioned for technology use and acceptance.56”
From Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review (2018) · cites this paper as [56]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 20,559
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756
Revisiting the Behavioral Model and Access to Medical Care: Does it Matter?
Andersen, R. M. (1995) · Journal of Health and Social Behavior · doi:10.2307/2137284 · Cited by 9,831
Methods for the thematic synthesis of qualitative research in systematic reviews
Thomas, J., & Harden, A. (2008) · BMC Medical Research Methodology · doi:10.1186/1471-2288-8-45 · Cited by 9,312
Why do people use information technology? A critical review of the technology acceptance model
Legris, P., Ingham, J., & Collerette, P. (2003) · Information & Management · doi:10.1016/s0378-7206(01)00143-4 · Cited by 4,250
Karahanna, E., Straub, D. W., & Chervany, N. L. (1999) · MIS Quarterly · doi:10.2307/249751 · Cited by 3,833
A meta-analysis of the technology acceptance model
King, W. R., & He, J. (2006) · Information & Management · doi:10.1016/j.im.2006.05.003 · Cited by 2,906
Cited by
Sorted by citations
Items 801–900 of 999
Feasibility of Non-contact Smart Sensor-Based Falls Detection in a Residential Aged Care Environment
Borda, A., Said, C. M., Gilbert, C. A., Smolenaers, F., McGrath, M., & Gray, K. M. (2019) · Intelligent systems reference library · doi:10.1007/978-3-030-30817-9_7 · Cited by 2
Kos-Łabędowicz, J. (2020) · Prace Komisji Geografii Komunikacji PTG · doi:10.4467/2543859xpkg.20.027.13129 · Cited by 2
Ismail, W. M. W., & Rasool, M. S. A. (2021) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v11-i8/10803 · Cited by 2
Diffusion of assistive technology among older people: A case of the House of the Present
Zwierenberg, E., Finnema, E. J., Dijkstra, A., Hagendoor, M., & Sanderman, R. (2018) · Gerontechnology · doi:10.4017/gt.2017.16.4.006.00 · Cited by 2
Saner, H. E., Schütz, N., Buluschek, P., Pasquier, G. D., Morf, S., Frech, M., & Nef, T. (2022) · Connected Health · doi:10.20517/ch.2022.03 · Cited by 3
Digital transformation in healthcare
Masoud, R. (2022) · International Journal of Scientific and Research Publications · doi:10.29322/ijsrp.12.07.2022.p12744 · Cited by 4
Zhao, G., Suklan, J., Liu, S., López, C., & Hunter, L. (2023) · International Journal of Entrepreneurial Behaviour & Research · doi:10.1108/ijebr-08-2022-0740 · Cited by 2
Living on Video: Insights on the User Perspective of Video-Based AAL Technology
Maidhof, C., Offermann, J., & Ziefle, M. (2023) · International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE) · doi:10.5220/0011759800003476 · Cited by 2
Kwon, H. J., & Oh, J. (2023) · Behavioral Sciences · doi:10.3390/bs13050403 · Cited by 2
Offermann, J., Wilkowska, W., Schaar, A. K., Brokmann, J. C., & Ziefle, M. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-37496-8_15 · Cited by 2
Tham, N. A. Q., Brady, A., Ziefle, M., Dinsmore, J. G., & Living, V. P.-A. A. A. V.-B. T. A. S. F. A. A. A. (2023) · Open Research Europe · doi:10.12688/openreseurope.16721.1 · Cited by 2
Alkhalifah, K., Alzahrani, S., & Alhomod, A. S. (2023) · IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD) · doi:10.1109/ictmod59086.2023.10438155 · Cited by 2
Faida, E. W., Wahyuni, T., Masyfufah, L., Saadah, A. A., Sutha, D. W., & Prasetyorini, A. (2023) · Bali Medical Journal · doi:10.15562/bmj.v12i3.4399 · Cited by 2
Luo, J., Zhang, R., Xu, J., & Pan, Y. (2024) · Sustainability · doi:10.3390/su16208770 · Cited by 2
Using a human centred design approach to develop a fall detection sock for older women
Rahemtulla, Z., Wickenden, R., & Hughes‐Riley, T. (2024) · Design for Health · doi:10.1080/24735132.2025.2454718 · Cited by 4
Gerontechnology: Technological Solutions for Sustainable Long-Term Care
Kılıç, B., Yıldız, N., İpek, L., SÖNMEZ, S., Saz, M. G., AYTEPE, A., & Başıbüyük, G. Ö. (2025) · İstanbul Gelişim Üniversitesi Sosyal Bilimler Dergisi · doi:10.17336/igusbd.1429059 · Cited by 2
Shaping the future of geriatric chronic pain care: a research agenda for progress
LaRowe, L. R., Pham, T. V., Szapary, C. L., & Vranceanu, A. (2025) · Pain Management · doi:10.1080/17581869.2025.2493609 · Cited by 2
Motivating older adults with special needs for learning using generative artificial intelligence
Chopra, K. (2025) · Educational Gerontology · doi:10.1080/03601277.2025.2538205 · Cited by 2
Cunningham, J., Buckley, C. M., Kearney, P. M., Kelly, C. M., Browne, L., Connolly, E., Elhiny, R., Gregg, E. W., Martin, J., Brien, S. M. O., et al. (2025) · HRB Open Research · doi:10.12688/hrbopenres.14205.1 · Cited by 1
Wouters, E. (2021) · Routledge eBooks · doi:10.4324/9781003155317-3 · Cited by 2
Self-citationUser acceptance of legacy systems integration
Mathule, R. L., & Kalema, B. M. (2016) · IST-Africa Conference (IST-Africa) · doi:10.1109/istafrica.2016.7530602 · Cited by 2
Understanding Older Adults’ Intentions to Use Healthcare Technologies: A Work in Progress
Harris, M. T., Blocker, K. A., & Rogers, W. A. (2017) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931213601926 · Cited by 2
Obtrusiveness Considerations of AAL Environments
Blasco, S. A., Navarro-Llobet, D., & Koumanakos, G. (2018) · Springer eBooks · doi:10.1007/978-3-319-92330-7_3 · Cited by 2
Sayago, S., Bergantiños, Á., & Forbes, P. J. (2019) · Human-computer interaction series · doi:10.1007/978-3-030-06076-3_15 · Cited by 2
Smarter Homes for Older Adults: Building a Framework Around Types and Levels of Autonomy
FakhrHosseini, M. S., Lee, C., & Coughlin, J. F. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-22015-0_24 · Cited by 2
Monitoring behaviours with model divergence: emailing studies of users with cognitive impairments
Robinson, W. N., Deng, T., & Aria, A. (2020) · Health Systems · doi:10.1080/20476965.2019.1710582 · Cited by 1
The Present and the Future of Occupational Therapy
Pozzi, C., Cavalli, S., Leorin, C., Cauli, O., & Morandi, A. (2020) · Springer eBooks · doi:10.1007/978-3-030-35731-3_8 · Cited by 2
Soja, E., Soja, P., Kolkowska, E., & Kirikova, M. (2020) · Lecture notes in business information processing · doi:10.1007/978-3-030-44322-1_26 · Cited by 2
Schomakers, E.-M., Vervier, L., & Ziefle, M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-50249-2_28 · Cited by 2
Soja, E., Soja, P., Kolkowska, E., Kirikova, M., & Muceniece, A. (2021) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2021.445 · Cited by 4
Ha, Y., Yang, S.-K., & Choi, M. J. (2021) · Journal of Digital Convergence · doi:10.14400/jdc.2021.19.4.141 · Cited by 2
Gute Technik für ein gutes Leben im Alter?
Altenbuchner, A., Bischof, A., Buchner, E., Cerullo, L., Domhoff, D., Fotteler, M., Friedl, M., & Frommeld, D. (2021) · Alter - Kultur - Gesellschaft · doi:10.1515/9783839454695 · Cited by 4
Internet of Things Applications for Smart Environments
Barfi, K. A. (2022) · Intelligent systems reference library · doi:10.1007/978-3-030-97516-6_5 · Cited by 2
The Role of Culture in Adopting Smart Home Technologies
Chung, J. (2016) · Springer eBooks · doi:10.1007/978-3-319-01583-5_58 · Cited by 2
Demographic Trends: Why We Need Smart Solutions
Wouters, E. (2014) · Springer eBooks · doi:10.1007/978-3-319-01904-8_48-1 · Cited by 2
Self-citationZhou, Y., Pan, T. S., Wang, L., & Li, R. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2197530 · Cited by 3
coala Națională de Studii Politice și Administrative, B., & DOBRE, A. (2022) · Revista Calitatea Vieții · doi:10.46841/rcv.2022.04.03 · Cited by 2
Layton, N. A., Hoyle, M. F., Lo, A., Callaway, L., Smith, E., Wang, R. H., Baudin, K., Pettersson, C., & Gowran, R. J. (2023) · World Federation of Occupational Therapists Bulletin · doi:10.1080/14473828.2023.2214755 · Cited by 2
Professional Values: The Use of Technology and the New Generation of Clinicians
Wouters, E., Weijers, T. C. M., & Nieboer, M. E. (2015) · Springer eBooks · doi:10.1007/978-3-319-01904-8_51-1 · Cited by 2
Self-citationProviding telecare for older adults: understanding the care navigators’ experience
Naick, M. (2018) · Quality in Ageing and Older Adults · doi:10.1108/qaoa-12-2017-0051 · Cited by 2
Popescu, D., Popescu, S., & Bodi, Ş. (2017) · Balkan Region Conference on Engineering and Business Education · doi:10.1515/cplbu-2017-0036 · Cited by 2
Guiding Assistive-Technology Adaptations Through Intelligent Stream Mining of Patient Data
Robinson, W. N., Deng, T., & Aria, A. (2019) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-7998-2310-0.ch011 · Cited by 2
Usability Heuristic Evaluation in AAL Ecosystems
Romeiro, C., & Araújo, P. (2020) · KnE Engineering · doi:10.18502/keg.v5i6.7050 · Cited by 2
How to Handle Data Management of Assisting Lifelogging Technologies from a User’s Point of View
Offermann, J., Wilkowska, W., & Ziefle, M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-50249-2_37 · Cited by 2
Cantó, V. P. (2021) · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya) · doi:10.6035/14103.2021.723514 · Cited by 3
Chira, V. A. M. (2022) · Queensland University of Technology · doi:10.5204/thesis.eprints.237053 · Cited by 2
Silver Economy Strategies: A Comparative Study of Japanese and South Korean Governmental Measures
Gschwendtner, P. (2020) · Vienna journal of East Asian studies · doi:10.2478/vjeas-2020-0003 · Cited by 1
Soubutts, E., Ayobi, A., Eardley, R., Cater, K. F., & O’Kane, A. A. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3476061 · Cited by 4
PATROL: Participatory Activity Tracking and Risk Assessment for Anonymous Elderly Monitoring
Mizumoto, T., Matsuda, Y., & Yasumoto, K. (2022) · Sensors · doi:10.3390/s22186965 · Cited by 1
Ngankam, H. K., Pigot, H., & Giroux, S. (2023) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-28813-5_6 · Cited by 1
Reframing Independent Living: Co-producing Homes to Age-in-Place
Resendiz-Villasenor, C., Rahimian, F. P., & Carnemolla, P. (2023) · Springer eBooks · doi:10.1007/978-3-031-28528-8_8 · Cited by 1
Listanto, V., Ramadhan, A., Firmansyah, N., & Susanti, B. H. (2023) · Journal of Education Technology · doi:10.23887/jet.v7i2.58622 · Cited by 2
Adoption of ambient-assisted living: the relevance of practices, ecosystems and temporality
Skard, S., Nysveen, H., & Pedersen, P. E. (2023) · Information Technology and People · doi:10.1108/itp-06-2022-0476 · Cited by 1
Soja, E., Soja, P., & Kolkowska, E. (2023) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2023.122 · Cited by 1
The Impact of Facilitating Conditions on Innovation Readiness in the Dubai Public Sector
(2024) · Journal of Logistics Informatics and Service Science · doi:10.33168/jliss.2024.0314 · Cited by 1
Technology Acceptance and Service Experience of Elderly Users with AI Translation Tools
Zhengkun, Z., Chuhao, G., Gaoshan, W., Junhao, W., Jia, W., & Liang, W. (2025) · Journal of Management World · doi:10.53935/jomw.v2024i4.715 · Cited by 1
Rebrica, N., Petrovčič, A., & Tuškej, U. (2025) · Acta Informatica Pragensia · doi:10.18267/j.aip.258 · Cited by 3
Liu, P., & Wang, F. (2025) · 人文与社会科学学刊 · doi:10.70693/rwsk.v1i2.481 · Cited by 1
Zadegan, M. A., Aromaa, E., Sahlström, R., Montonen, T., Eriksson, P., & Leinonen, V. (2025) · Home Health Care Management & Practice · doi:10.1177/10848223251324598 · Cited by 1
Exploring Technology Readiness and Digital Health App Adoption Across Age Groups
Ali, A. (2025) · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · doi:10.55041/ijsrem45339 · Cited by 1
Speculating and Disentangling the Relationship Between Technology and Care Work
Pillai, A. G., Liu, R., Lee, J.-J., Cho, J., Baek, I., Choi, A., Doherty, K., Ferguson, C., Hu, R., Kettley, S., et al. (2025) · Designing Interactive Systems Conference · doi:10.1145/3715668.3736364 · Cited by 1
Chang, M.-H., Lian, J.-Y., Sung, P., & Chen, P.-T. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124356 · Cited by 1
Langmann, E., & Ehni, H. (2025) · Journal of Bioethical Inquiry · doi:10.1007/s11673-025-10479-8 · Cited by 1
Gao, Y., Rau, P. P., Guo, P., Ng, C. R., Wang, K., Lee, P. H., Li, H., Yu, X., Lin, X., & Kinoshita, M. (2025) · Educational Gerontology · doi:10.1080/03601277.2025.2569381 · Cited by 1
Felpete, A., Carvalho, J. F., Figueiredo, T., Rodríguez, M., Midão, L., Alves, S., Duarte, N., Pereiro, A. X., Costa, E., & Facal, D. (2025) · Journal of Applied Gerontology · doi:10.1177/07334648251386493 · Cited by 1
del Viso, M. C., Mazas, A., Navarrete‐Villanueva, D., Ferrer, C., & Iguacel, I. (2025) · Journal of Gerontological Nursing · doi:10.3928/00989134-20251111-02 · Cited by 2
Schoenfeld, E., Trimboli, T., Schwartz, K., Ayisi-Boahene, G., Bruckenthal, P., Zadok, E., Horwitz, S., & Ye, F. (2025) · Italian National Conference on Sensors · doi:10.3390/s25247413 · Cited by 3
Integlia, R., Rodgers, J., Ehlman, M. C., Batista, R. W., & Batista, L. (2025) · IEEE International Symposium on Technology and Society (ISTAS) · doi:10.1109/istas65609.2025.11269611 · Cited by 1
Khan, A., Bibi, S., Lee, Y., Babar, Z. U., & Li, H. (2025) · SAGE Open · doi:10.1177/21582440251407759 · Cited by 1
Kwack, S., Kim, S., & Lee, Y. (2025) · The Korean Society of Costume · doi:10.7233/jksc.2025.75.6.127 · Cited by 1
Tosaka, Y., Funada, S., & Goto, R. (2026) · BMC Health Services Research · doi:10.1186/s12913-026-14082-4 · Cited by 1
Churata, D. V. P., Fantinato, M., Peres, S. M., Yassuda, M. S., de Melo, R. C., Cachioni, M., & Paradeda, R. B. (2026) · Expert Systems · doi:10.1111/exsy.70220 · Cited by 1
Golant, S. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1724293 · Cited by 1
Palmdorf, S., Gruschka, T., Eliaß, G., Nikelski, A., Trompetter, E., Stark, A. L., Karlheim, C., Dockweiler, C., & Kreisel, S. H. (2026) · BMC Geriatrics · doi:10.1186/s12877-025-05945-2 · Cited by 1
de Araujo, B. S., Fantinato, M., Cachioni, M., Yassuda, M. S., de Melo, R. C., Peres, S. M., & Hung, P. C. K. (2026) · IEEE Access · doi:10.1109/access.2026.3663190 · Cited by 1
Peng, Y., & Liu, Z. (2026) · BMC Public Health · doi:10.1186/s12889-026-26580-5 · Cited by 1
Choi, N., Lee, O. E., & Park, D.-H. (2026) · The Gerontologist · doi:10.1093/geront/gnag009 · Cited by 1
A Push and a Pull: Dual Pathways of Family Influence on Older Adults’ Smart Home Adoption
Xu, Y., Chen, Z., & Shi, Y. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2623217 · Cited by 1
How do technologies help aging in place? evidence from rural China
Lyu, Y., & Forsyth, A. (2026) · Cogent Gerontology · doi:10.1080/28324897.2026.2632439 · Cited by 1
Zhao, S., Wu, C., Wang, Z., Guo, M., & Zhao, X. (2026) · Smart Learning Environments · doi:10.1186/s40561-026-00443-3 · Cited by 1
Rogers, C., McGeown, W. J., & Moshfeghi, Y. (2026) · JMIR Aging · doi:10.2196/85626 · Cited by 1
Zhu, Y., Zhou, Y., Xiong, D., & Chen, Z. (2026) · The Gerontologist · doi:10.1093/geront/gnag025 · Cited by 1
Wang, Y.-L., Chen, Y.-J., & Liu, C.-C. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.106698 · Cited by 2
Health information technology acceptance by older people: a systematic review
Azzi, S., Daramola, O. J., & Gagnon, S. (2026) · Discover Public Health · doi:10.1186/s12982-026-01658-y · Cited by 1
Chen, C., Zhan, M., Zhou, J., & Zhang, H. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1777839 · Cited by 1
Doyle, J., Harvey, S. A., Okutkan, I. C., McAleer, P., Teixeira, F., & Dinsmore, J. G. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791785 · Cited by 1
Guan, Y., Xiang, Y., Fu, Y., Huang, L., Su, S., Tan, Z., & Huang, X. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1791984 · Cited by 1
Cattoni, J., Rigaud, A., Dacunha, S., Perrot, E., Chétouani, M., & Pino, M. (2026) · BMC Geriatrics · doi:10.1186/s12877-026-07511-w · Cited by 2
Liu, X., Li, H., & Ouyang, W. (2026) · Buildings · doi:10.3390/buildings16101920 · Cited by 1
Mannheim, I., Xi, W., Bachner, Y. G., Zhao, Y. (., & Cohn‐Schwartz, E. (2026) · Technology in Society · doi:10.1016/j.techsoc.2026.103399 · Cited by 1
A Transformer-Based Multimodal On-Device AI System for Vulnerable Elderly Care in Aging Societies
Lee, L. J. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-26211-0_2 · Cited by 1
Wilson, S., Beswick, E., Popp, Z., Rahman, S., Bhogal, S., Whitfield, T. J., Low, S., Khan, R. R., Tolley, C. L., Walker, Z., et al. (2026) · Journal of Medical Internet Research · doi:10.2196/84004 · Cited by 1
Hao, F., Ng, W., Liu, J., Back, K., & Chon, K. (2026) · Tourism Review · doi:10.1108/tr-07-2025-0810 · Cited by 1
Zhang, S., Wang, Q., Zhou, J., Wang, L., & Shuai, M. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-92-0232-4_24 · Cited by 1
Boons, C. C. L. M., van de Kamp, K., & Deeg, D. J. H. (2014) · Disability and Rehabilitation Assistive Technology · doi:10.3109/17483107.2014.951976 · Cited by 1
Forchuk, C., Cassidy, K.-L., Burhan, A. M., Booth, R. G., Vasudev, A., Hoch, J. S., Lewis, M., Isaranuwatchai, W., Lizotte, D. J., Rudnick, A., et al. (2016) · Future Technologies Conference · doi:10.1109/ftc.2016.7821779 · Cited by 1
Preventive computing technology for successful aging
Oetting, A. N. (2016) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · Cited by 1
Keeping together: older people in longitudinal research studies, the case of TwinsUK
Mein, G., Bhatti, T., Bailey, S., Steves, C. J., Hart, D. J., García, M. P., & Tinker, A. (2020) · Working with Older People · doi:10.1108/wwop-02-2020-0007 · Cited by 1
Healthcare Informatics and Technology in Managing the Older Cancer Patient
Shen, J., Xie, Z., & Naeim, A. (2020) · Springer eBooks · doi:10.1007/978-3-319-57415-8_89 · Cited by 1
Metadata
- Authors
- Peek, S. T. M., Wouters, E. J. M., van Hoof, J., Luijkx, K. G., Boeije, H. R., & Vrijhoef, H. J. M.
- Affiliations
- Tilburg University (NL)
- Fontys University of Applied Sciences (NL)
- Utrecht University (NL)
- National University of Singapore (SG)
- Corresponding author
- Peek, Sebastiaan T.M.
- ORCID
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2014-04
- Volume
- 83
- Issue
- 4
- Pages
- 235-248
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W2105499459
- Cited by
- 1,206
- References
- 69
- Citations by year
- 2026: 159 · 2025: 117 · 2024: 95 · 2023: 120 · 2022: 105 · 2021: 120 · 2020: 129 · 2019: 91 · 2018: 103 · 2017: 70 · 2016: 53 · 2015: 32 · 2014: 10
- FWCI
- 19.10
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Medical Informatics (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Utrecht University Repository (Utrecht University) (acceptedVersion)
- Research portal (Tilburg University) (submittedVersion, cc-by-nc-nd)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by-nc-nd)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by-nc-nd)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Funders
- Dutch Ministry of Education, Culture and Science (OCW) (PRO-3-37)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Keywords
- technology acceptance, aging in place, community-dwelling older adults, electronic health technology, perceived usefulness, perceived ease of use, privacy concerns, usability, social influence, family caregivers, safety technology, technology adoption
- MeSH terms
- Adult, Aged, Attitude to Computers, Health Services Needs and Demand, Humans, Patient Acceptance of Health Care, Technology Assessment, Biomedical, Independent Living
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review