Interactive Personalization of Ambient Assisted Living Environments

  • Alexander Marinc
  • Carsten Stocklöw
  • Anreas Braun
  • Carsten Limberger
  • Cristian Hofmann
  • Arjan Kuijper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6771)

Abstract

Ambient Assisted Living (AAL) comprises methods, systems, and services applied to improve the quality of daily life for humans, especially elderly people. Recent research emphasizes the implementation of comprehensive AAL platforms which control all technological components included in the entire environment such as one’s apartment. The behavior of the system is often determined by a specific set of rules. Thus, personalization according to the person’s needs and preferences includes a configuration of the given rule system. Assuming that configuration is not only conducted by technical staff but also by the person him or herself, this process can be regarded as complex, requiring technical knowledge. In this work, we present an interactive and architectural approach to support at the personalization of an AAL system by different types of users.

Keywords

Ambient Assisted Living End User Configuration Personalization 

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References

  1. 1.
    UNIVERsal open platform and reference Specification for Ambient Assisted Living, http://www.universaal.org/ (accessed February 2011)
  2. 2.
    Baker, J., Deng, L., Glass, J., Khudanpur, S., hui Lee, C., Morgan, N., O’Shaughnessy, D.: Developments and directions in speech recognition and understanding, part 1 (dsp education). IEEE Signal Processing Magazine 26(3), 75–80 (2009)CrossRefGoogle Scholar
  3. 3.
    Meyer, S., Mollenkopf, H.: AAL in der alternden Gesellschaft - Anforderungen, Akzeptanz und Perspektiven. VDE Verlag Gmbh (2010)Google Scholar
  4. 4.
    Nazemi, K., Ullmann, T.D., Hornung, C.: Engineering user centered interaction systems for semantic visualizations. In: Stephanidis, C. (ed.) UAHCI 2009. LNCS, vol. 5614, pp. 126–134. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  5. 5.
    Rinderle, S., Bobrik, R., Reichert, M., Bauer, T.: Business process visualization - use cases, challenges, solutions. In: ICEIS 2006 - Proceedings of the Eighth International Conference on Enterprise Information Systems: Databases and Information Systems Integration, Paphos, Cyprus, May 23-27, pp. 204–211 (2006)Google Scholar
  6. 6.
    Shneiderman, B.: Direct manipulation for comprehensible, predictable and controllable user interfaces. In: Proceedings of the 2nd International Conference on Intelligent User Interfaces, IUI 1997, pp. 33–39. ACM, New York (1997)Google Scholar
  7. 7.
    Tazari, M.R.: An open distributed framework for adaptive user interaction in ambient intelligence. In: Proceedings of the First International Joint Conference on Ambient Intelligence, AmI 2010, pp. 227–238. Springer, Heidelberg (2010)Google Scholar
  8. 8.
    Tazari, M.R. (ed.) : AAL Reference Architecture requirements. UniversAAL Deliverable D1.2 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Alexander Marinc
    • 1
  • Carsten Stocklöw
    • 1
  • Anreas Braun
    • 1
  • Carsten Limberger
    • 1
  • Cristian Hofmann
    • 1
  • Arjan Kuijper
    • 1
  1. 1.Fraunhofer Institute for Computer Graphics ResearchDarmstadtGermany

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