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Reducing the Entry Threshold of AAL Systems: Preliminary Results from Casa Vecchia

  • Gerhard Leitner
  • Anton Josef Fercher
  • Alexander Felfernig
  • Martin Hitz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7382)

Abstract

Ambient assisted living holds promising solutions to tackle the problems of an overaging society by providing various smart home as well as computing and internet technologies that support independent living of elderly people. However, the acceptance of these technologies by the group of elderly constitutes a crucial precondition for the success of AAL. The paper presents early results from the project Casa Vecchia which explores the feasibility of AAL within a longitudinal field study with 20 participating households. Thereby observed barriers hindering the acceptance of technologies applied in the project are discussed as well as possible solutions to reduce the entry threshold to assistive technology.

Keywords

Ambient Assisted Living Technology Acceptance Ethnographic Fieldstudy 

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References

  1. 1.
    BMBF/VDE Innovationspartnerschaft, AAL (Hrsg.): Interoperabilität von AAL-Systemkomponenten. Teil 1: Stand der Technik. VDE Verlag, Berlin (2010)Google Scholar
  2. 2.
    BMBF/VDE Innovationspartnerschaft AAL (Hrsg.): Ambient Assisted Living (AAL), Komponenten, Projekte, Services. Eine Bestandsaufnahme. VDE Verlag, Berlin (2011)Google Scholar
  3. 3.
    Das, S.K., Cook, D.J., Bhattacharya, A., Heierman, E.O., Lin, T.Y.: The role of prediction algorithm in the MavHome smart home architecture. IEEE Wireless Commun. 9(6), 77–84 (2002)CrossRefGoogle Scholar
  4. 4.
    The Casa Vecchia Project, http://www.casavecchia.at (last access April 20, 2012)
  5. 5.
    Czaja, S.J., Charness, N., Fisk, A.D., Hertzog, C., Nair, S.N., Rogers, W.A., Sharit, J.: Factors predicting the use of technology: Findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). Psychology and Aging 21, 333–352 (2006)CrossRefGoogle Scholar
  6. 6.
    Chan, M., Esteve, D., Escriba, E., Campo, E.: A review of smart homes - Present state and future challenges. Computer Methods and Programs in Biomedicine 91(1), 55–81 (2008)CrossRefGoogle Scholar
  7. 7.
    Coughlin, J.F., D’Ambrosio, L.A., Reimer, B., Pratt, M.R.: Older adult perceptions of smart home technologies: Implications for research, policy and market innovations in healthcare. In: IEEE Proceedings of the Engineering in Medicine and Biology Annual Conference, Lyon, France (2007)Google Scholar
  8. 8.
    Dewsbery, G.: The Social and Psychological Aspects of Smart Home Technology within the Care Sector, http://bscw.cs.ncl.ac.uk/pub/bscw.cgi/d55710/Dewsbury-TheSocialandPyschologicalAspectsofSmartHomeTechnology//WithintheCareSector.pdf (last access April 20, 2012)
  9. 9.
    Ferscha, A.: A Matter of Taste. In: Schiele, B., Dey, A.K., Gellersen, H., de Ruyter, B., Tscheligi, M., Wichert, R., Aarts, E., Buchmann, A. (eds.) AmI 2007. LNCS, vol. 4794, pp. 287–304. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  10. 10.
    Hernández-Encuentra, E.H., Pousada, M., Gomez-Zuniga, B.: ICT and older people: Beyond usability. Educational Gerontology 35(3), 226–245 (2009)CrossRefGoogle Scholar
  11. 11.
    O’Grady, M.J., Muldoon, C., Dragone, M., Tynan, R., O’Hare, G.M.P.: Towards evolutionary ambient assisted living systems. J. Ambient Intelligence and Humanized Computing, 15–29 (2010)Google Scholar
  12. 12.
    Meyer, S., Schulze, E.: Smart Home für ältere Menschen. Handbuch für die Praxis, Stuttgart (2008)Google Scholar
  13. 13.
    Mynatt, E., Rowan, J., Jacobs, A., Craighill, S.: Digital Family Portraits: Supporting Peace of Mind for Extended Family Members. In: Proc. of CHI 2001, pp. 333–340. ACM Press (2001)Google Scholar
  14. 14.
    Kleinberger, T., Becker, M., Ras, E., Holzinger, A., Müller, P.: Ambient Intelligence in Assisted Living: Enable Elderly People to Handle Future Interfaces. In: Stephanidis, C. (ed.) UAHCI 2007, Part II. LNCS, vol. 4555, pp. 103–112. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  15. 15.
    Saizmaa, T., Kim, H.C.: A Holistic Understanding of HCI Perspectives on Smart Home. In: Proceedings of the Fourth International Conference on Networked Computing and Advanced Information Management, vol. 2, pp. 59–65 (2008)Google Scholar
  16. 16.
    Steg, H., Strese, H., Loroff, C., Hull, J., Schmidt, S.: Europe is Facing a Demographic Challenge, Ambient assisted Living offers Solutions (2006), http://www.aal-europe.eu/Published/FinalVersion.pdf
  17. 17.
    Sun, H., Florio, V.D., Gui, N., Blondia, C.: Promises and Challenges of Ambient Assisted Living Systems. In: Proceedings of ITNG, pp. 1201–1207 (2009)Google Scholar
  18. 18.
    Ziefle, M., Röcker, C.: Acceptance of Pervasive Healthcare Systems: A comparison of different implementation concepts. In: 4th ICST Conf. on Pervasive Computing Technologies for Healthcare (UCD-PH 2010), pp. 1–6 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Gerhard Leitner
    • 1
  • Anton Josef Fercher
    • 1
  • Alexander Felfernig
    • 2
  • Martin Hitz
    • 1
  1. 1.Institute of Informatics-SystemsAlpen-Adria Universität KlagenfurtKlagenfurtAustria
  2. 2.Institute for Software TechnologyGraz University of TechnologyGrazAustria

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