Older Adults’ Perceptions and Use of Technology: A Novel Approach

  • Cara Bailey Fausset
  • Linda Harley
  • Sarah Farmer
  • Brad Fain
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8010)

Abstract

This study investigated older adults’ perceptions of technology in their everyday lives by using the stages of change model, a behavioral change model, as a guiding framework. Participants answered daily workbook questions about their experiences with technology and also recorded daily interactions and difficulties with technology for a 28-day period. Overall, participants were positive about technology but expressed concerns such as identity theft and loss of human contact. Participants reported using a wide range of technology in their everyday lives and cited efficiency, making life easier, and communication as reasons why they use technology. A recurring theme throughout the study was that their children played a major role in influencing aspects of technology adoption and use. Participants also reported not using technology if the need or value was not apparent. Older adults do adopt and use technologies, but only if the value and personal relevance is clear.

Keywords

Older adults aging technology behavioral change model 

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References

  1. 1.
  2. 2.
    Bronstein, L., Gellis, Z.D., Kenaley, B.L.: A neighborhood naturally occurring retirement community: Views from providers and residents. Journal of Applied Gerontology 30, 104–112 (2011)CrossRefGoogle Scholar
  3. 3.
    Birren, J.E., Schaie, K.W.: Handbook of the Psychology of Aging. Academic Press, San Diego (2006)Google Scholar
  4. 4.
    Park, D.C., Lautenschlager, G., Hedden, T., Davidson, N.S., Smither, A.D., Smith, P.K.: Models of visuospatial and verbal memory across the adult life span. Psychology of Aging 17, 299–320 (2002)CrossRefGoogle Scholar
  5. 5.
    Administration on Aging: A profile of older Americas (2011), http://www.aoa.gov/aoaroot/aging_statistics/Profile/2011/16.aspx
  6. 6.
  7. 7.
    Administration on Aging: A profile of older Americans (2009), http://www.aoa.gov/aoaroot/aging_statistics/Profile/2009/docs/2009profile_508.pdf
  8. 8.
    van Hoof, J., Kort, H.S.M., Rutten, P.G.S., Duijnstee, M.S.H.: Ageing-in-place with the use of ambient intelligence technology: Perspectives of older users. International Journal of Medical Informatics 80, 310–331 (2011)CrossRefGoogle Scholar
  9. 9.
    Blascke, C.M., Freddolino, P.P., Mullen, E.E.: Ageing and technology: A review of the literature. British Journal of Social Work 39, 641–656 (2009)CrossRefGoogle Scholar
  10. 10.
    Mann, W.C., Belchior, P., Tomita, M.R., Kemp, B.J.: Older adults’ perception and use of PDAs, home automation system, and home health monitoring system. Topics in Geriatric Rehabilitation 23, 35–46 (2007)Google Scholar
  11. 11.
    Wälivaara, B.M., Andersson, S., Axelsson, K.: Views on technology among people in need of health care at home. International Journal of Circumpolar Health 68, 158–169 (2000)Google Scholar
  12. 12.
    Prochaska, J.O., DiClemente, C.C., Norcross, J.C.: In search of how people change: Applications to addictive behaviors. American Psychologist 47, 1102–1114 (1992)CrossRefGoogle Scholar
  13. 13.
    Zimmerman, G.L., Olsen, C.G., Bosworth, M.F.: A ‘stages of change’ approach to helping patients change behavior. American Family Phsician 61, 1409–1416 (2000)Google Scholar
  14. 14.
    Mitzner, T.L., Boron, J.B., Fausset, C.B., Adams, A.E., Chamess, N., Czaja, S.J., Dijkstra, K., Fisk, A.D., Rogers, W.A., Sharit, J.: Older adults talk technology: Technology usage and attitudes. Computers in Human Behavior 26, 1710–1721 (2010)CrossRefGoogle Scholar
  15. 15.
    Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13, 319–340 (1989)CrossRefGoogle Scholar
  16. 16.
    Melenhorst, A.S., Rogers, W.A., Bouwhuis, D.G.: Older adults’ motivated choice for technological innovation: Evidence for benefit-driven selectivity. Psychology and Aging 21, 190–195 (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Cara Bailey Fausset
    • 1
  • Linda Harley
    • 1
  • Sarah Farmer
    • 1
  • Brad Fain
    • 1
  1. 1.Georgia Tech Research InstituteAtlantaGeorgia

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