DigiSwitch: A Device to Allow Older Adults to Monitor and Direct the Collection and Transmission of Health Information Collected at Home
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Home monitoring represents an appealing alternative for older adults considering out-of-home long term care and an avenue for informal caregivers and health care providers to gain decision-critical information about an older adults’ health and well-being. However, privacy concerns about having 24/7 monitoring, especially video monitoring, in the home environment have been cited as a major barrier in the design of home monitoring systems. In this paper we describe the design and evaluation of “DigiSwitch”, a medical system designed to allow older adults to view information as it is collected about them and temporarily cease transmission of data for privacy reasons. Results from a series of iterative user studies suggest that control over the transmission of monitoring data from the home is helpful for maintaining user privacy. The studies demonstrate that older adults are able to use the DigiSwitch system to monitor and direct the collection and transmission of health information in their homes, providing these participants with a way to simultaneously maintain privacy and benefit from home monitoring technology.
KeywordsAging in place Home monitoring Home Older adult Privacy
Portions of this material were presented at the 1st Annual Meeting of the ACM Special Interest Group on International Health Informatics (with proceedings). This material is based upon work supported by the National Science Foundation under award number 0705676. Any opinions, findings, and conclusions or recommendations expressed in this presentation are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
- 1.AARP. Healthy at Home. Retrieved from http://assets.aarp.org/rgcenter/il/healthy_home.pdf, (2008).
- 3.Administration on aging. Retrieved Mar 1, 2010. http://www.aoa.gov.
- 4.Ameen, M. A., Liu, J., and Kwak, K. Security and privacy issues in wireless sensor networks for healthcare applications. J. Med. Syst., 2010.Google Scholar
- 5.Beach, S., Schulz, R., Bruin, W., Downs, J., Musa, D., and Matthews, J., Privacy attitudes and quality of life technology in disabled and non-disabled baby boomers and older adults. Gerontologist 48(2):46, 2008.Google Scholar
- 6.Beckwith, R., Designing for ubiquity: The perception of privacy. IEEE Pervasive 2(2):40–46, 2002.Google Scholar
- 7.Bellotti, V., Back, M., Edwards, W. K., Grinter, R. E., Henderson, A, and Lopes, C. Making sense of sensing systems: Five questions for designers and researchers. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2002.Google Scholar
- 8.Bishop, L. S., Holmes, B. J., and Kelley, C. M., National consumer health privacy survey. California HealthCare Foundation, Oakland, 2005.Google Scholar
- 9.Blanson Henkemans, O. A., Caine, K. E, Rogers, W. A., Fisk, A. D., Neerinex, M. A., and de Ruyter, B. Medical monitoring for independent living: user-centered design of smart home technologies for older adults. In Proceedings of the Med-e-Tel Conference for eHealth, Telemedicine and Health Information and Communication Technologies, 2007.Google Scholar
- 12.Caine, K. E. Visual sensing devices in home-care systems. In Proceedings of the Security and Privacy in Medical and Home Care Systems Workshop, 2009.Google Scholar
- 13.Caine, K. E., Fisk, A. D., and Rogers, W. A. Benefits and privacy concerns of a home equipped with a visual sensing system: a perspective from older adults. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2006.Google Scholar
- 14.Caine, K. E., Fisk, A. D., and Rogers, W. A. Designing privacy conscious aware homes for older adults. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2007.Google Scholar
- 15.Computing Consortium Community. Information Technology Research Challenges for Healthcare: From Discovery to Delivery, 2010.Google Scholar
- 16.Consolvo, S., Smith, I. E., Matthews, T., LaMarca, A.,Tabert, J., and Powledge, P. Location disclosure to social relations: why, when, & what people want to share. In Proceedings of the Conference on Human Factors in Computing Systems, 2005.Google Scholar
- 19.Edwards,W. K., and Grinter, R. At home with ubiquitous computing: seven challenges. In Proceedings of the Conference on Ubiquitous Computing, 2008.Google Scholar
- 20.Ethical Technology in the Homes of Seniors. Retrieved Mar 1, 2010. http://ethos.indiana.edu.
- 21.Farzanfar, R., Finkelstein, J., and Friedman, R. H., Testing the usability of two automated home-based patient-management systems. J. Med. Syst. 28(2):143–153, 2004.Google Scholar
- 23.Ganguli, M., Seaberg, E., Belle, S., Fischer, L., and Kuller, L. H., Cognitive impairment and the use of health services in an elderly rural population: the MoVIES project. Monongahela Valley elders survey. J. Am. Geriatr. Soc. 41(10):1065–1070, 1993.Google Scholar
- 25.Kolodner, L., McCuan, E., and Levenson, J., Screening and supportive techniques for home dialysis in the treatment of renal failure. J. Am. Geriatr. Soc. 24(1):32–36, 1976.Google Scholar
- 26.Kumaraguru, P., and Cranor, L. Privacy indexes: a survey of Westin's studies. Institute for Software Research International (ISRI), Carnegie Mellon University, 2005. Retrieved June 1, 2010. http://www.cs.cmu.edu/~ponguru/CMU-ISRI-05-138.pdf.
- 27.Lederer, S., Mankoff, J., and Dey, A. K. Who wants to know what when? Privacy preference determinants in ubiquitous computing. In Proceedings of Conference on Human Factors in Computing Systems, 2003.Google Scholar
- 28.Lorenzen-Huber, L., Boutain, M., Shankar, K., Camp, L. J., and Connelly, K. Privacy, independence, and relationships: older adults’ perceptions of home-based ubiquitous technologies. Ageing International, 2010.Google Scholar
- 30.Mutschler, P. H., The effects of income on home modification: can they afford to stay put? In: Lanspery, S., and Hyde, J. (Eds.), Staying Put: Adapting the Places Instead of the People. Baywood Publishing Company, Inc, Amityville, pp. 149–168, 1997.Google Scholar
- 32.Olson, J. S., Grudin, J., and Horvitz, E. A study of preferences for sharing and privacy. In Proceedings of the Conference on Human Factors in Computing Systems, 2005.Google Scholar
- 33.Pynoos, J., and Regnier, V., Design directives in home adaptation. In: Lanspery, S., and Hyde, J. (Eds.), Staying Put: Adapting the Places Instead of the People. Baywood Publishing Company, Inc, Amityville, pp. 41–54, 1997.Google Scholar
- 34.Ross, P. E. Managing care through the air. IEEE Spectrum (Dec. 2004), 26–31, 2004.Google Scholar
- 35.Stead, W. W., and Lin, H. S. Computational technology for effective health care: Immediate steps and strategic directions. National Academies Press, Washington, D.C., 2009. Retrieved Mar 3, 2010. http://www.nlm.nih.gov/pubs/reports/comptech_prepub.pdf
- 36.Tang, P. C., Ash, J. S., Bates, D. W., Overhage, J. M., and Sands, D. Z., Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption. J. Am. Med. Inform. Assoc. 13(2):121–126, 2006.Google Scholar
- 37.Tsai, J. Y., Kelley, P., Drielsma, P., Cranor, L. F., Hong, J., and Sadeh, N. Who’s viewed you? The impact of feedback in a mobile location-sharing application. In Proceedings of the Conference on Human Factors in Computing Systems, 2009.Google Scholar
- 38.Warren, and Brandeis. The right to privacy. Harvard Law Review. 1890.Google Scholar
- 39.Zarsky, T. Z., Thinking outside the box: considering transparency, anonymity, and pseudonymity as overall solutions to the problems in information privacy in the internet society. Univ Miami Law Rev 58:991–1044, 2003.Google Scholar