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Utility theory-based user models for intelligent interface agents

  • Uncertainty
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Advances in Artificial Intelligence (Canadian AI 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1418))

Abstract

An underlying problem of current interface agent research is the failure to adequately address effective and efficient knowledge representations and associated methodologies suitable for modeling the users' interactions with the system. These user models lack the representational complexity to manage the uncertainty and dynamics involved in predicting user intent and modeling user behavior. A utility theory-based approach is presented for effective user intent prediction by incorporating the ability to explicitly model users' goals, the uncertainty in the users' intent in pursuing these goals, and the dynamics of users' behavior. We present an interface agent architecture, CIaA, that incorporates our approach and discuss the integration of CIaA with three disparate domains — a probabilistic expert system shell, a natural language input database query system, and a virtual space plane —that are being used as test beds for our interface agent research.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Air Force Institute of Technology, 45433-7765, Wright-Patterson AFB, OH, USA

    Scott M. Brown & Sheila B. Banks

  2. Computer Science and Engineering, University of Connecticut, 06269-3155, Storrs, CT, USA

    Eugene Santos Jr.

Authors
  1. Scott M. Brown
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  2. Eugene Santos Jr.
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  3. Sheila B. Banks
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Robert E. Mercer Eric Neufeld

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© 1998 Springer-Verlag Berlin Heidelberg

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Brown, S.M., Santos, E., Banks, S.B. (1998). Utility theory-based user models for intelligent interface agents. In: Mercer, R.E., Neufeld, E. (eds) Advances in Artificial Intelligence. Canadian AI 1998. Lecture Notes in Computer Science, vol 1418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64575-6_65

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  • DOI: https://doi.org/10.1007/3-540-64575-6_65

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64575-7

  • Online ISBN: 978-3-540-69349-9

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