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User Modeling 2001

8th International Conference, UM 2001, Sonthofen, Germany, July 13-17, 2001. Proceedings

  • Conference proceedings
  • © 2001

Overview

Editors:
  1. Mathias Bauer

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

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  2. Piotr J. Gmytrasiewicz

    1. University of Texas, Arlington, USA

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  3. Julita Vassileva

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

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (54 papers)

  1. Front Matter

    Pages I-XIII
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  2. Full Papers

    1. Acquiring User Models from Multi-modal User Input

      1. Harnessing Models of Users’ Goals to Mediate Clarification Dialog in Spoken Language Systems
        • Eric Horvitz, Tim Paek
        Pages 3-13
      2. Modeling the Acquisition of English: An Intelligent CALL Approach ⋆
        • Lisa N. Michaud, Kathleen F. McCoy, Litza A. Stark
        Pages 14-23
      3. Recognizing Time Pressure and Cognitive Load on the Basis of Speech: An Experimental Study
        • Christian Müller, Barbara Großmann-Hutter, Anthony Jameson, Ralf Rummer, Frank Wittig⋆
        Pages 24-33

    2. Learning Interaction Models

      1. The Learning Shell: Automated Macro Construction
        • Nico Jacobs, Hendrik Blockeel
        Pages 34-43
      2. Learning Interaction Models in a Digital Library Service
        • Giovanni Semeraro, Stefano Ferilli, Nicola Fanizzi, Fabio Abbattista
        Pages 44-53

    3. User Models for Natural Language Interpretation, Processing and Generation

      1. A User Modeling Approach to Determining System Initiative in Mixed-Initiative AI Systems
        • Michael Fleming, Robin Cohen
        Pages 54-63
      2. Collaborating with Focused and Unfocused Users under Imperfect Communication
        • Neal Lesh, Charles Rich, Candace L. Sidner
        Pages 64-73
      3. Improving User Modelling with Content-Based Techniques
        • Bernardo Magnini, Carlo Strapparava
        Pages 74-83
      4. An Integrated Approach for Generating Arguments and Rebuttals and Understanding Rejoinders
        • Ingrid Zukerman
        Pages 84-94

    4. Adaptive Interviewing for Acquiring User Preferences/ Product Customization

      1. Acquiring User Preferences for Product Customization
        • David N. Chin, Asanga Porage
        Pages 95-104
      2. Utility-Based Decision Tree Optimization: A Framework for Adaptive Interviewing
        • Markus Stolze, Michael Ströbel
        Pages 105-116

    5. Supporting User Collaboration through Adaptive Agents

      1. User Modelling in I-Help: What, Why, When and How
        • Susan Bull, Jim Greer, Gordon McCalla, Lori Kettel, Jeff Bowes
        Pages 117-126
      2. An Adaptive User-Interface-Agent Modeling Communication Availability
        • Silke Höppner
        Pages 127-136

    7. Adaptive Information Filtering, Retrieval and Browsing

      1. METIORE: A Personalized Information Retrieval System
        • David Bueno, Amos A. David
        Pages 168-177
      2. Personalizing Delivered Information in a Software Reuse Environment
        • Gerhard Fischer, Yunwen Ye
        Pages 178-187
      3. Automating Personal Categorization Using Artificial Neural Networks
        • Dina Goren-Bar, Tsvi Kuflik, Dror Lev, Peretz Shoval
        Pages 188-198
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Keywords

Editors and Affiliations

  • German Research Center for Artificial Intelligence (DFKI GmbH), Saarbrücken, Germany

    Mathias Bauer

  • University of Texas, Arlington, USA

    Piotr J. Gmytrasiewicz

  • Department of Computer Science ARIES, University of Saskatchewan, Saskatoon, Canada

    Julita Vassileva

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