User modeling 2001 : 8th international conference, UM 2001, Sonthofen, Germany, July 13-17, 2001 : proceedings

This book constitutes the refereed proceedings of the 8th International Conference on User Modeling, UM 2001, held in Sonthofen, Germany in July 2001. The 19 revised full papers and 20 poster summaries presented together with summaries of 12 selected student presentations were carefully reviewed and selected from 79 submissions. The book offers topical sections on acquiring user models from multi-modal user input; learning interaction models; user models for natural language interpretation, processing, and generation; adaptive interviewing for acquiring user preferences and product customization; supporting user collaboration through adaptive agents; student modeling; and adaptive information filtering, retrieval, and browsing. Acquiring User Preferences for Product Customization....Pages 95-104 Utility-Based Decision Tree Optimization: A Framework for Adaptive Interviewing....Pages 105-116 User Modelling in I-Help: What, Why, When and How....Pages 117-126 An Adaptive User-Interface-Agent Modeling Communication Availability....Pages 127-136 Cognitive Computer Tutors: Solving the Two-Sigma Problem....Pages 137-147 Applying Interactive Open Learner Models to Learning Technical Terminology....Pages 148-157 Student and Instructor Models: Two Kinds of User Model and Their Interaction in an ITS Authoring Tool....Pages 158-167 Harnessing Models of Users’ Goals to Mediate Clarification Dialog in Spoken Language Systems....Pages 3-13 Modeling the Acquisition of English: An Intelligent CALL Approach ⋆....Pages 14-23 Recognizing Time Pressure and Cognitive Load on the Basis of Speech: An Experimental Study....Pages 24-33 The Learning Shell: Automated Macro Construction....Pages 34-43 Learning Interaction Models in a Digital Library Service....Pages 44-53 METIORE: A Personalized Information Retrieval System....Pages 168-177 Personalizing Delivered Information in a Software Reuse Environment....Pages 178-187 Automating Personal Categorization Using Artificial Neural Networks....Pages 188-198 A User Modeling Approach to Determining System Initiative in Mixed-Initiative AI Systems....Pages 54-63 Collaborating with Focused and Unfocused Users under Imperfect Communication....Pages 64-73 Improving User Modelling with Content-Based Techniques....Pages 74-83 An Integrated Approach for Generating Arguments and Rebuttals and Understanding Rejoinders....Pages 84-94 User Modelling as an Aid for Human Web Assistants....Pages 201-203 Modelling the Interests of a News Service User....Pages 204-206 Category Based Customization Approach for Information Retrieval....Pages 207-209 Using Rollouts to Induce a Policy from a User Model....Pages 210-212 Tailoring the Content of Dynamically Generated Explanations....Pages 213-215 A User Model Based on Content Analysis for the Intelligent Personalization of a News Service....Pages 216-218 Modeling Exploratory Behaviour....Pages 219-221 Ascribing and Weighting Beliefs in Deceptive Information Exchanges....Pages 222-224 Visual Search and Background Complexity: Does the Forest Hide the Trees?....Pages 225-227 Characterizing Sequences of User Actions for Access Logs Analysis....Pages 228-230 Modeling Literary Style for Semi-automatic Generation of Poetry....Pages 231-233 Perceptual Considerations for Quality of Service Management: An Integrated Architecture....Pages 234-236 Emotions and Personality in Agent Design and Modeling....Pages 237-239 Using Document Structures for Personal Ontologies and User Modeling*....Pages 240-242 User-Tailored Plan Presentation....Pages 243-246 Investigating Students’ Self-Assessment Skills....Pages 247-250 Generating Personal Travel Guides - And Who Wants Them?....Pages 251-253 Inspectability and User Controlled Revision on Long Term User Models....Pages 254-256 Getting the Right Information to the Right Person....Pages 257-259 Goals, Tasks and Application Domains as the Guidelines for Defining a Framework for User Modelling....Pages 260-262 Improving Student Models by Reasoning about Cognitive Ability, Emotions and Gender....Pages 265-267 Integrating Multilingual Text Classification Tasks and User Modeling in Personalized Newspaper Services....Pages 268-270 Enhancing Embodied Intelligent Agents with Affective User Modelling....Pages 271-273 Designing TV Viewer Stereotypes for an Electronic Program Guide....Pages 274-276 AGENDA CULTUREL An Adaptive Cultural Information Service....Pages 277-279 Ubiquitous User Modeling for Situated Interaction....Pages 280-282 An Intelligent Pedagogical Agent in CALL....Pages 283-285 How to Learn More about Users from Implicit Observations 1 ....Pages 286-288 Student Modelling for CALL Based on Pedagogical Standards....Pages 289-291 Evaluation of Adaptive Systems....Pages 292-294 Supporting Negotiated Assessment Using Open Student Models....Pages 295-297 Using Markov Chains for Structural Link Prediction in Adaptive Web Sites....Pages 298-300 Tailoring Privacy to Users’ Needs 1 ....Pages 301-313 Heavyweight Applications of Lightweight User Models: A Look at Collaborative Filtering, Recommender Systems, and Real-Time Personalization....Pages 314-314 Eye Tracking: A Rich Source of Information for User Modeling....Pages 315-315

This book constitutes the refereed proceedings of the 8th International Conference on User Modeling, UM 2001, held in Sonthofen, Germany in July 2001.
The 19 revised full papers and 20 poster summaries presented together with summaries of 12 selected student presentations were carefully reviewed and selected from 79 submissions. The book offers topical sections on acquiring user models from multi-modal user input; learning interaction models; user models for natural language interpretation, processing, and generation; adaptive interviewing for acquiring user preferences and product customization; supporting user collaboration through adaptive agents; student modeling; and adaptive information filtering, retrieval, and browsing.

The papers in this work cover such topics as: acquiring user models from multi-modal user input; learning interaction models; user models for natural language interpretation, processing and generation; and adaptive interviewing for acquiring user preferences.