The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Willingness of older adults to share data and privacy concerns after exposure to unobtrusive in-home monitoring
Open accessAbstract
Older adult participants in the Intelligent Systems for Assessment of Aging Changes study (ISAAC) carried out by the Oregon Center for Aging and Technology (ORCATECH) were surveyed regarding their attitudes about unobtrusive home monitoring and computer use at baseline and after one year (n=119). The survey was part of a longitudinal study using in-home sensor technology to detect cognitive changes and other health problems. Our primary objective was to measure willingness to share health or activity data with one's doctor or family members and concerns about privacy or security of monitoring over one year of study participation. Differences in attitudes of participants with Mild Cognitive Impairment (MCI) compared to those with normal cognition were also examined. A high proportion (over 72%) of participants reported acceptance of in-home and computer monitoring and willingness to have data shared with their doctor or family members. However, a majority (60%) reported concerns related to privacy or security; these concerns increased after one year of participation. Few differences between participants with MCI and those with normal cognition were identified. Findings suggest that involvement in this unobtrusive in-home monitoring study may have raised awareness about the potential privacy risks of technology. Still, results show high acceptance, stable over time, of sharing information from monitoring systems with family members and doctors. Our findings have important implications for the deployment of technologies among older adults in research studies as well as in the general community.
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“Twelve studies presented results on IAT that were both accepted and used by the participants [19–21, 23, 27, 30–33, 42, 43, 45].”
From Acceptance and use of innovative assistive technologies among people with cognitive impairment and their caregivers: a systematic review (2019) · cites this paper as [19]
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“In some cases users did not even mind being monitored by IAT if this was understood as a useful strategy to allow their physician to provide a better care [19].”
From Acceptance and use of innovative assistive technologies among people with cognitive impairment and their caregivers: a systematic review (2019) · cites this paper as [19]
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Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864
Measurement of Functional Activities in Older Adults in the Community
PFEFFER, R. I., Kurosaki, T., Harrah, C. H., Chance, J. M., & Filos, S. (1982) · Journal of Gerontology · doi:10.1093/geronj/37.3.323 · Cited by 2,978
Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A., & Sharit, J. (2006) · Psychology and Aging · doi:10.1037/0882-7974.21.2.333 · Cited by 2,113
The Alzheimer's Disease Centers' Uniform Data Set (UDS)
Weıntraub, S., Salmon, D. P., Mercaldo, N. D., Ferris, S. H., Graff‐Radford, N. R., Chui, H. C., Cummings, J. L., DeCarli, C. S., Foster, N. L., Galasko, D. R., et al. (2009) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e318191c7dd · Cited by 911
Smart homes — Current features and future perspectives
Chan, M., Campo, É., Esteve, D., & Fourniols, J.-Y. (2009) · Maturitas · doi:10.1016/j.maturitas.2009.07.014 · Cited by 584
Elderly persons’ perception and acceptance of using wireless sensor networks to assist healthcare
Steele, R., Lo, A., Secombe, C., & Wong, Y. K. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2009.08.001 · Cited by 508
Technologies for an Aging Society: A Systematic Review of “Smart Home” Applications
Hensel, B. K., & Demiris, G. (2008) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638580 · Cited by 451
Kaye, J. A., Maxwell, S. A., Mattek, N., Hayes, T. L., Dodge, H. H., Pavel, M., Jimison, H. B., Wild, K., Boise, L., & Zitzelberger, T. (2011) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbq095 · Cited by 308
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Items 101–139 of 139
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Czech, E., Soubutts, E., Craddock, I. J., & O’Kane, A. A. (2025) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3719160.3736605 · Cited by 3
Gupta, C., Hassan, M., & Adedayo, O. M. (2026) · Journal of Applied Gerontology · doi:10.1177/07334648261416184 · Cited by 3
Awan-Ur-Rahman, Borty, S. C., Chakravarty, S., Ramos, M. D., & Sakib, M. N. (2026) · Smart Health · doi:10.1016/j.smhl.2026.100654 · Cited by 3
Perspectives for Wearable Electronics in Healthcare and Childcare
Virkki, J., & Raumonen, P. (2013) · E-Health Telecommunication Systems and Networks · doi:10.4236/etsn.2013.23008 · Cited by 3
Leese, M. I., Mattek, N., Bernstein, J. P. K., Dorociak, K. E., Gothard, S., Kaye, J. A., & Hughes, A. M. (2022) · The Clinical Neuropsychologist · doi:10.1080/13854046.2022.2103033 · Cited by 3
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Poli, A. (2021) · Linköping studies in arts and science · doi:10.3384/9789179290467 · Cited by 6
Berge, M. S. (2021) · Perspectives in nursing management and care for older adults · doi:10.1007/978-3-030-40075-0_14 · Cited by 3
Felber, N. A., Tian, Y. J., Pageau, F., Elger, B. S., & Wangmo, T. (2023) · Research Square · doi:10.21203/rs.3.rs-2069142/v1 · Cited by 3
Older Adults' Safety and Security Online: A Post-Pandemic Exploration of Attitudes and BehaviorsPreprint
Pacheco, E. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5176347 · Cited by 4
A Blessing and a Challenge: Unpacking Boundary Ambiguities Experienced by Caregivers of Older Adults
Weng, T.-Y., & Bhat, K. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790392 · Cited by 2
Ethical Concerns About the Use of Assistive Technologies
Elger, B. S. (2019) · Oxford University Press eBooks · doi:10.1093/med/9780190459802.003.0009 · Cited by 2
Bishop, A. J., Sheng, W., Carlson, B. W., & Firdausya, N. (2023) · Springer eBooks · doi:10.1007/978-3-031-20970-3_6 · Cited by 2
Intelligent Home Risk-Based Monitoring Solutions Enable Post Acute Care Surveillance
Moghimi, H., Schaffer, J. L., & Wickramasinghe, N. S. (2016) · Healthcare delivery in the information age · doi:10.1007/978-3-319-25973-4_22 · Cited by 2
Considerations and Challenges in Information and Communication Technology
Crotty, B. H. (2017) · Springer eBooks · doi:10.1007/978-3-319-44084-2_13 · Cited by 2
Functional assessment in geriatric mental health
Seelye, A. M., Brown, S. J., Dorociak, K. E., Kaye, J. A., Wild, K. V., & Urošević, S. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-800136-3.00021-1 · Cited by 2
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Paquette, D. R., Orr-Ewing, L., Anderson, B., Marlin, B. M., Choudhry, N. K., & Ganesan, D. (2024) · Public Policy & Aging Report · doi:10.1093/ppar/prae023 · Cited by 2
Mathews, J. J., Mulavelil, R. M., Rodrigues, N., Kautz, T. F., Cosgrove, K., Wang, C., MacCarthy, D., Fernandez, R. A., Gothard, S., Sharma, N., et al. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1603062 · Cited by 1
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Wang, S., Tan, N. H., & Munson, S. A. (2026) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3831972 · Cited by 1
Jo, S., & Song, C. (2022) · Physical therapy rehabilitation science · doi:10.14474/ptrs.2022.11.1.49 · Cited by 1
Smart Home Health Technologies and Elder Care: Mapping Ethical Issues Through a Systematic Review
Perišin, A. Š., & Tadin, A. (2022) · Asian Journal of Ethics in Health and Medicine · doi:10.51847/mbwwopzyh7 · Cited by 1
The Development of Elderly Care Robot and Current Challenges for Functional Design
Wang, J. (2020) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/926/1/012012 · Cited by 1
Zdravje starostnikov / Health of the Elderly
(2021) · Založba Univerze na Primorskem / University of Primorska Press eBooks · doi:10.26493/978-961-293-129-2 · Cited by 1
Unobtrusive Technology for In-Home Monitoring: Preliminary Results on Fall Detection
Diraco, G., Leone, A., & Siciliano, P. A. (2017) · Lecture notes in electrical engineering · doi:10.1007/978-3-319-54283-6_9
Elderly’s attitude towards information communication technology
Špehar, J., Glavan, D., Došen, D., & Starc, A. (2021) · Založba Univerze na Primorskem / University of Primorska Press eBooks · doi:10.26493/978-961-293-129-2.207-213
Marcum, C. S. (2021) · Springer eBooks · doi:10.1007/978-3-030-22009-9_574
Marcum, C. S. (2019) · Springer eBooks · doi:10.1007/978-3-319-69892-2_574-1
Big Data in GerontologyPreprint
Marcum, C. S. (2019) · doi:10.31235/osf.io/cp3a8
Privacy Predictive Models for Homecare Patient Sensing
Sun, L., Yang, B., Utheim, E., & Luo, H. (2022) · Cognitive informatics in biomedicine and healthcare · doi:10.1007/978-3-031-07696-1_11
Offermann, J., Maidhof, C., & Ziefle, M. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-34917-1_4
Alade, O., & Oluwatobi, A. A. (2024) · African Journal of Social Sciences and Humanities Research · doi:10.52589/ajsshr-okhmxspy
Technologien zur Förderung der Autonomie von Menschen mit Demenz
Ienca, M. (2023) · Sozialtheorie · doi:10.14361/9783839465431-005
سالم, ا. (2024) · مجلة البحوث الإعلامیة · doi:10.21608/jsb.2024.271500.1704
A Systematic Framework for User Requirements in Smart Home Environment
Jiang, Z., Yang, M., & Gao, Q. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-92710-2_7
Lau, B. H. P., Shum, E. N.-Y., & Yoon, J. (2025) · Journal of Applied Gerontology · doi:10.1177/07334648251349907
Older adults’ views of passive smartphone monitoring for dementia risk: a multi-method analysis
Hackett, K., Wurtz, H., Zhu, C. W., Loizos, M., Berroa, F., Espinoza, H. R., Federman, A. D., & Sano, M. (2026) · Innovation in Aging · doi:10.1093/geroni/igag034
Lee, J., & Roh, S. (2026) · International Review of Public Administration · doi:10.1080/12294659.2026.2646351
Mheidly, N., Dempsey, P. R., & Quinn, K. (2026) · Ageing and Society · doi:10.1017/s0144686x26100701
Niu, R., Lin, F., Liu, Z., Wu, K., & Franz, R. L. (2026) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3797867.3829012
Metadata
- Authors
- Boise, L., Wild, K., Mattek, N., Ruhl, M., Dodge, H. H., & Kaye, J.
- Affiliations
- Oregon Health & Science University (US)
- Venue
- Gerontechnology
- Published
- 2013-01-22
- Volume
- 11
- Issue
- 3
- Pages
- 428-435
- ISSN
- 1569-1101 (ISSN-L)
- 1569-111X
- PMC
- PMC3604979
- OpenAlex
- W2045440422
- Cited by
- 139
- References
- 32
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 9 · 2023: 16 · 2022: 11 · 2021: 22 · 2020: 11 · 2019: 17 · 2018: 7 · 2017: 9 · 2016: 7 · 2015: 7 · 2014: 4 · 2013: 4
- FWCI
- 19.99
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Gerontechnology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Veterans Affairs
- University of Oregon
- National Institute on Aging (R01AG024059, P30AG008017, P30AG024978, K01AG023014)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Health Sciences › Nursing › Issues, ethics and legal aspects › Patient Dignity and Privacy
- Keywords
- older adults, home monitoring, non-intrusive monitoring, privacy concerns, data sharing, mild cognitive impairment, computer monitoring, health data sharing, technology acceptance
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