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Conference of the Canadian Society for Computational Studies of Intelligence

Canadian AI 1996: Advances in Artifical Intelligence pp 109–120Cite as

Extending the role of user feedback in plan recognition and response generation for advice-giving systems: An initial report

  • Natural Language I: Generation
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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1081))

Abstract

In this paper we outline a model for plan recognition in advice-giving settings which incorporates user modeling techniques and we show how to extend it to allow a wider range of user feedback than in previous plan recognition models. In particular, we discuss how this model allows for clarification dialogues both in cases where there are faults in a user's plan and in cases where alternate decompositions of plans might be selected as the basis for a user-specific response. We also describe an extension of the model which allows more general descriptions of the plans being recognized to be presented to users, due to the inclusion of certain generalized action nodes in the plan library. Since the user is then able to take the initiative to request a more specific response from the system, there is an additional opportunity for user feedback. We conclude with some reasons why these extensions for user feedback are valuable and discuss some potential new directions for plan recognition and response generation.

This work was partially supported by MURST 60%, by the Italian National Research Council (CNR), project “Pianificazione Automatica” and the Natural Sciences and Engineering Council of Canada (NSERC).

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Università di Torino, Cso Svizzera 185, 10149, Torino, Italy

    Liliana Ardissono

  2. Department of Computer Science, University of Waterloo, N2L 3G1, Waterloo, Canada

    Robin Cohen

Authors
  1. Liliana Ardissono
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  2. Robin Cohen
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Gordon McCalla

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© 1996 Springer-Verlag Berlin Heidelberg

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Ardissono, L., Cohen, R. (1996). Extending the role of user feedback in plan recognition and response generation for advice-giving systems: An initial report. In: McCalla, G. (eds) Advances in Artifical Intelligence. Canadian AI 1996. Lecture Notes in Computer Science, vol 1081. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61291-2_45

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  • DOI: https://doi.org/10.1007/3-540-61291-2_45

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61291-9

  • Online ISBN: 978-3-540-68450-3

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