Accounting for User Diversity in the Acceptance of Medical Assistive Technologies

  • Sylvia Kowalewski
  • Wiktoria Wilkowska
  • Martina Ziefle
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 69)


This paper describes two studies focusing on acceptance of medical technologies from different points of view – in general and in particular. Acceptance of medical assistive technologies was analyzed considering influences of user diversity factors. The first study explored how people perceive the aging process itself and showed how this perception is associated with general aspects of acceptance of medical technology in terms of usability. The second study was conducted to analyze acceptance of a specific technology – a smart robot – revealing that the acceptance of a concrete medical device is more specific and that especially age and gender form its underlying structures.


aging concepts user diversity usefulness medical technology 


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  1. 1.
    Wittenberg, R., Comas-Herrera, A., Pickard, L., Hancock, R.: Future Demand for Long-Term Care in England. PSSRU Research Summary (2006) Google Scholar
  2. 2.
    Tan, J.: E-Health Care InformatioN Systems. Jossey-Bass, Danvers (2005)Google Scholar
  3. 3.
    Gaul, S., Ziefle, M., Arning, K., Wilkowska, W., Kasugai, K., Röcker, C., Jakobs, E.-M.: Technology Acceptance as an Integrative Component of Product Developments in the Medical Technology Sector. In: Proceedings of the Third Ambient Assisted Living Conference (AAL 2010), January 26-27, VDE Verlag, Berlin (2010), CD-ROMGoogle Scholar
  4. 4.
    Davis, F.D.: Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly 13, 319–337 (1989)CrossRefGoogle Scholar
  5. 5.
    Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: Toward a unified view. MIS Quarterly 27(3), 425–478 (2003)Google Scholar
  6. 6.
    Stronge, A.J., Rogers, W.A., Fisk, A.D.J.: Human factors considerations in implementing telemedicine systems to accommodate older adults. Telemed Telecare 13, 1–3 (2007)CrossRefGoogle Scholar
  7. 7.
    Arning, K., Ziefle, M.: Different Perspectives on Technology Acceptance: The Role of Technology Type and Age. In: Holzinger, A., Miesenberger, K. (eds.) USAB 2009. LNCS, vol. 5889, pp. 20–41. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  8. 8.
    Carmel, S.: The will to live: Gender differences among elderly patients. Social Sciences and Medicine 49, 1401–1408 (2001)CrossRefGoogle Scholar
  9. 9.
    Arber, S., Vandrevala, T., Daly, T., Hampson, S.: Understanding gender differences in older people’s attitudes towards life-prolonging medical technologies. Journal of Aging Studies 22, 366–375 (2008)CrossRefGoogle Scholar
  10. 10.
    Schumacher, P., Morahan-Martin, J.: Gender, Internet and computer attitudes and experiences. Computers in Human Behavior 17, 95–110 (2001)CrossRefGoogle Scholar
  11. 11.
    Peplau, L.A., Bikson, T.K., Rook, K.S., Goodchilds, J.D.: Being old and living alone. In: Peplau, L.A., Perlman, D. (eds.) Loneliness: A Sourcebook of Current Theory, Research and Therapy, pp. 327–347. Wiley, New York (1982)Google Scholar
  12. 12.
    Graf, B., Reiser, U., Hägele, M., Mauz, K., Klein, P.: Robotic Home Assistant Care-O-bot ® 3 - Product Vision and Innovation Platform. In: Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts - ARSO 2009, Tokyo, Japan, November 23-25, pp. 139–144. IEEE, Piscataway (2009)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2011

Authors and Affiliations

  • Sylvia Kowalewski
    • 1
  • Wiktoria Wilkowska
    • 1
  • Martina Ziefle
    • 1
  1. 1.Human Technology Centre, Communication ScienceRWTH AachenAachenGermany

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