User Modeling 2003

1. Front Matter

   Pages I-XIV

   PDF

2. Abstracts of Invited Talks

   1. Adaptive Interfaces for Ubiquitous Web Access

      • Michael Pazzani

      Pages 1-1

   2. Computers That Recognize and Respond to User Emotion

      • Rosalind Picard

      Pages 2-2

   3. The Advantages of Explicitly Representing Problem Spaces

      • Kurt VanLehn

      Pages 3-3

3. Adaptive Hypermedia

   1. The Three Layers of Adaptation Granularity

      • Alexandra Cristea, Licia Calvi

      Pages 4-14

   2. Adaptive Presentation of Multimedia Interface Case Study: “Brain Story” Course

      • Halima Habieb-Mammar, Franck Tarpin-Bernard, Patrick Prévôt

      Pages 15-24

   3. Discovering Prediction Rules in AHA! Courses

      • Cristóbal Romero, Sebastián Ventura, Paul de Bra, Carlos de Castro

      Pages 25-34

4. Adaptive Web

   1. Word Weighting Based on User’s Browsing History

      • Yutaka Matsuo

      Pages 35-44

   2. SNIF-ACT: A Model of Information Foraging on the World Wide Web

      • Peter Pirolli, Wai-Tat Fu

      Pages 45-54

   3. Adapting to the User’s Internet Search Strategy

      • Jean-David Ruvini

      Pages 55-64

   4. Learning a Model of a Web User’s Interests

      • Tingshao Zhu, Russ Greiner, Gerald Häubl

      Pages 65-75

   5. Modelling Users’ Interests and Needs for an Adaptive Online Information System

      • Enrique Alfonseca, Pilar Rodríguez

      Pages 76-80

   6. Declarative Specifications for Adaptive Hypermedia Based on a Semantic Web Approach

      • Serge Garlatti, Sébastien Iksal

      Pages 81-85

5. Natural Language and Dialog

   1. Emotional Dialogs with an Embodied Agent

      • Addolorata Cavalluzzi, Berardina De Carolis, Valeria Carofiglio, Giuseppe Grassano

      Pages 86-95

   2. Evaluating a Model to Disambiguate Natural Language Parses on the Basis of User Language Proficiency

      • Lisa N. Michaud, Kathleen F. McCoy

      Pages 96-105

   3. Incorporating a User Model into an Information Theoretic Framework for Argument Interpretation

      • Ingrid Zukerman, Sarah George, Mark George

      Pages 106-116

   4. Using Dialogue Games to Maintain Diagnostic Interactions

      • Vania Dimitrova

      Pages 117-121

6. Plan Recognition

   1. Extending Plan Inference Techniques to Recognize Intentions in Information Graphics

      • Stephanie Elzer, Nancy Green, Sandra Carberry, Kathleen McCoy

      Pages 122-132

   2. Leveraging Collaborative Effort to Infer Intent

      • Joshua Introne, Richard Alterman

      Pages 133-137

   3. Plan Recognition to Aid the Visually Impaired

      • Marcus J. Huber, Richard Simpson

      Pages 138-142

The International User Modeling Conferences are the events at which research foundations are being laid for the personalization of computer systems. In the last 15 years, the field of user modeling has produced significant new theories and methods to analyze and model computer users in short and long term interactions. A user model is an explicit representation of properties of individual users or user classes. It allows the system to adapt its performance to user needs and preferences. Methods for personalizing human computer interaction based on user models have been successfully developed and applied in a number of domains, such as information filtering, adaptive natural language and hypermedia presentation, tutoring systems, e commerce and medicine. There is also a growing recognition of the need to evaluate the results of new user modeling methods and prototypes in empirical studies and a growing focus on evaluation methods. New trends in HCI create new and interesting challenges for user modeling. While consolidating results in traditional domains of interest, the user modeling field now also addresses problems of personalized interaction in mobile and ubiquitous computing and adaptation to user attitudes and affective states. Finally, with the spread of user modeling in everyday applications and on the Web, new concerns about privacy preservation are emerging. All these topics are covered in the proceedings of UM 2003, the 9th International Conference on User Modeling.

• HCI
• Web
• adaptive systems
• collaborative computing
• computer-assisted learning
• distance learning
• human-computer interaction
• learning
• modeling
• student modeling
• ubiquitous computing
• user collaboration
• user interfaces
• user modeling

• School of Information Sciences, Department of Information Science and Telecommunications, University of Pittsburgh, Pittsburgh, USA

  Peter Brusilovsky

• Human Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, USA

  Albert Corbett

• Intelligent Interfaces, Department of Informatics, University of Bari, Bari, Italy

  Fiorella Rosis

Policies and ethics