Motion-Based Adaptation of Information Services for Mobile Users

  • Mathias Bauer
  • Matthieu Deru
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3538)


Adaptive information systems typically exploit knowledge about the user’s interests, preferences, goals etc. to determine what should be presented to the user and how this presentation should take place. When dealing with mobile users, however, information about their motions—the places visited, the duration of stays, average velocity etc.—can be additionally exploited to enrich the user model and better adapt the system behavior to the user’s needs. This paper discusses the use of positioning data and background knowledge to achieve such a motion-based adaptation of information provision.


Cognitive Load Mobile User Edit Distance Motion Sequence Information Item 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Ashbrook, D., Starner, T.: Using GPS to learn significant locations and predict movement across multiple users. Personal & Ubiquitous Comp. 7(5), 275–286 (2003)CrossRefGoogle Scholar
  2. 2.
    Bauer, M.: Transparent User Modeling in specter. In: Proc. of the 7th International Conference on Work with Computing Systems (WWCS 2004) (2004)Google Scholar
  3. 3.
    Benelli, G., Bianchi, A., Marti, P., Not, E., Sennati, D.: HIPS: Hyper-Interaction within Physical Space. In: Proceedings of IEEE Multimedia Systems 1999, International Conference on Multimedia Computing and Systems (1999)Google Scholar
  4. 4.
    Liao, L., Fox, D., Kautz, H.: Learning and Inferring Transportation Routines. In: Proceedings of AAAI 2004, pp. 348–353 (2004)Google Scholar
  5. 5.
    Müller, C., Grossmann-Hutter, B., Jameson, A., Rummer, R., Wittig, F.: Recognizing time pressure and cognitive load on the basis of speech: An experimental study. In: Bauer, M., Gmytrasiewicz, P.J., Vassileva, J. (eds.) UM 2001. LNCS (LNAI), vol. 2109, pp. 24–33. Springer, Heidelberg (2001)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Mathias Bauer
    • 1
  • Matthieu Deru
    • 2
  1. 1.DFKISaarbrückenGermany
  2. 2.mineway GmbHSaarbrückenGermany

Personalised recommendations