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Personalized Contexts in Help Systems

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Advances in Artificial Intelligence (Canadian AI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2056))

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Abstract

Help systems offer a variety of services ranging from providing references to online documents to providing task-specific on-the-job training. One of the pervasive characteristics of any help system is the conception of a help-context. Depending on the type of service being offered, help systems may require different help-contexts. The context captures knowledge about the person who provides help, the person who consumes help, the help material, and the tool that delivers the material. The knowledge about the helper and the helpee can be stored in user models. In this paper we discuss how help-contexts are created in the Helper’s Assistant and how user models enhance the quality of help-contexts and the quality of help being delivered.

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Author information

Authors and Affiliations

  1. ARIES Laboratory, Department of Computer Science, University of Saskatchewan, Canada

    Vive S. Kumar, Gordon I. McCalla & Jim E. Greer

Authors
  1. Vive S. Kumar
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  2. Gordon I. McCalla
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  3. Jim E. Greer
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Alberta, Edmonton, AB, Canada, T6G 2E8

    Eleni Stroulia

  2. School of Information Technology and Engineering, University of Ottawa, Ottawa, ON, Canada, K1N 6N5

    Stan Matwin

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© 2001 Springer-Verlag

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Kumar, V.S., McCalla, G.I., Greer, J.E. (2001). Personalized Contexts in Help Systems. In: Stroulia, E., Matwin, S. (eds) Advances in Artificial Intelligence. Canadian AI 2001. Lecture Notes in Computer Science(), vol 2056. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45153-6_16

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  • DOI: https://doi.org/10.1007/3-540-45153-6_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42144-3

  • Online ISBN: 978-3-540-45153-2

  • eBook Packages: Springer Book Archive

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