Abstract
Australia’s increasing aged population is associated with rises in health expenditure and residential care costs, creating a public health challenge. This challenge can be met with in-home monitoring systems that allow older people to live at home longer. There is, however, a dearth of knowledge on how Australians feel about being monitored. Here we describe an ongoing study conducted with elderly residents as part of a smart home pilot. We aim to identify perceptions of the sensor-based in-home monitoring system throughout the pilot, from conception to completion. In this paper, we provide our preliminary findings of initial reactions to the technology and contributions made by prospective residents at pre-pilot workshops. We found participants favoured system flexibility and enhanced family communication and that undesirable aspects could be circumvented or solved by our researchers. Much of the participant feedback was incorporated into the design of the pilot and the associated technologies.
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ABS. Population by Age and Sex, Australian States and Territories, Report 3201.0, Canberra (2010)
Australian Institute of Health and Welfare. Health expenditure Australia 2009–10. Health and welfare expenditure series no. 46. Cat. No. HWE 55. Canberra (2011)
Ansell, C., Davey, E., Vu, H.: Australian cost of residential aged care research: Service costs in modern residential aged care facilities. Grant Thornton, Australia (2012)
Attorney-General’s Dept. Australia to 2050: Future challenges. Canberra (2010)
Demiris, G., Hensel, B.K.: Technologies for an aging society: a systematic review of “smart home” applications. Yearbook of Medical Informatics, 33–40 (2008)
Cash, M.: Assistive technology and people with dementia. Rev. Clin. Gerontol 13, 313–319 (2003)
Kaye, J.A., Maxwell, S.A., Mattek, N., Hayes, T.L., Dodge, H., Pavel, M., Jimison, H.B., Wild, K., Boise, L., Zitzelberger, T.A.: Intelligent systems for assessing aging changes: home-based, unobtrusive, and continuous assessment of aging. J. Gerontol, B: Psychol. Sci. and Soc. Sci. 66B(S1), i180–i190 (2011)
Rutherford, J.: Wearable technology healthcare solutions for a growing global population. IEEE Eng. Med. Biol. Mag. 29, 19–24 (2010); Special Issue on wearable technology
Tamura, T.: Home geriatric physiological measurements. Physiol. Meas 33, R47–R65 (2009)
Ohta, S., Nakamoto, H., Shinagawa, Y., Tanikawa, T.: A health monitoring system for elderly people living alone. J. Telemed. Telecare 8, 151–156 (2002)
Smith, G.E., Lunde, A.M., Hathaway, J.C., Vickers, K.S.: Telehealth Home Monitoring of Solitary Persons With Mild Dementia. Am. J. Alzheimers Dis. Other Demen. 22(1), 20–26 (2007)
Wild, K., Boise, L., Lundell, J., Foucek, A.: Unobtrusive In-Home Monitoring of Cognitive and Physical Health: Reactions and Perceptions of Older Adults. J. Appl. Gerontol 27(2), 181–200 (2008)
Doyle, J., Bailey, C., Dromey, B.: Experiences of in-home evaluation of independent living technologies for older adults. In: Irish Conference on Human Computer Interaction (2009)
Sterniczuk, R., Theou, O., Rusak, B., Rockwood, K.: Disturbances to the sleep-wake cycle predict future diagnosis of Alzheimer’s Disease. Program 799.11/BBB12 Society for Neuroscience (2012)
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Bradford, D., Freyne, J., Karunanithi, M. (2013). Sensors on My Bed: The Ups and Downs of In-Home Monitoring. In: Biswas, J., Kobayashi, H., Wong, L., Abdulrazak, B., Mokhtari, M. (eds) Inclusive Society: Health and Wellbeing in the Community, and Care at Home. ICOST 2013. Lecture Notes in Computer Science, vol 7910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39470-6_2
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DOI: https://doi.org/10.1007/978-3-642-39470-6_2
Publisher Name: Springer, Berlin, Heidelberg
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