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International Conference on User Modeling

UM 2001: User Modeling 2001 pp 292–294Cite as

Evaluation of Adaptive Systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2109))

Abstract

Unambiguously, adaptive systems have to be evaluated empirically to guarantee that the adaptivity really works. Nevertheless, only few of the existing adaptive systems have been evaluated. One of the most important reasons for this lack is, that measures for adaptivity success have not been investigated systematically up to now.

The aim of this PhD thesis is to explore a methodology for the empirical evaluation of adaptive systems, including validated criteria, experimental designs and procedures. It will be demonstrated that cognitive and behavioral factors provide important evidence for adaptivity success.

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References

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Author information

Authors and Affiliations

  1. Pedagogical University Freiburg, Germany

    Stephan Weibelzahl

Authors
  1. Stephan Weibelzahl
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Editor information

Editors and Affiliations

  1. German Research Center for Artificial Intelligence (DFKI GmbH), Stuhlsatzenhausweg 3, 66123, Saarbrücken, Germany

    Mathias Bauer

  2. University of Texas, 19015, Arlington, TX, 76019-0015, USA

    Piotr J. Gmytrasiewicz

  3. Department of Computer Science ARIES, University of Saskatchewan, 1C101 Engineering Bldg., 57 Campus Dr., Saskatoon, SK, Canada, S7N 5A9

    Julita Vassileva

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© 2001 Springer-Verlag Berlin Heidelberg

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Weibelzahl, S. (2001). Evaluation of Adaptive Systems. In: Bauer, M., Gmytrasiewicz, P.J., Vassileva, J. (eds) User Modeling 2001. UM 2001. Lecture Notes in Computer Science(), vol 2109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44566-8_49

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  • DOI: https://doi.org/10.1007/3-540-44566-8_49

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42325-6

  • Online ISBN: 978-3-540-44566-1

  • eBook Packages: Springer Book Archive

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