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.
Author(s): Michael Pazzani (auth.), Peter Brusilovsky, Albert Corbett, Fiorella de Rosis (eds.)
Series: Lecture Notes in Computer Science 2702 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2003
Language: English
Pages: 442
Tags: User Interfaces and Human Computer Interaction; Artificial Intelligence (incl. Robotics); Information Systems Applications (incl.Internet); Simulation and Modeling; Computers and Society; Computer Appl. in Social and Behavioral Sciences
Adaptive Interfaces for Ubiquitous Web Access....Pages 1-1
Computers That Recognize and Respond to User Emotion....Pages 2-2
The Advantages of Explicitly Representing Problem Spaces....Pages 3-3
The Three Layers of Adaptation Granularity....Pages 4-14
Adaptive Presentation of Multimedia Interface Case Study: “Brain Story” Course....Pages 15-24
Discovering Prediction Rules in AHA! Courses....Pages 25-34
Word Weighting Based on User’s Browsing History....Pages 35-44
SNIF-ACT: A Model of Information Foraging on the World Wide Web....Pages 45-54
Adapting to the User’s Internet Search Strategy....Pages 55-64
Learning a Model of a Web User’s Interests....Pages 65-75
Modelling Users’ Interests and Needs for an Adaptive Online Information System....Pages 76-80
Declarative Specifications for Adaptive Hypermedia Based on a Semantic Web Approach....Pages 81-85
Emotional Dialogs with an Embodied Agent....Pages 86-95
Evaluating a Model to Disambiguate Natural Language Parses on the Basis of User Language Proficiency....Pages 96-105
Incorporating a User Model into an Information Theoretic Framework for Argument Interpretation....Pages 106-116
Using Dialogue Games to Maintain Diagnostic Interactions....Pages 117-121
Extending Plan Inference Techniques to Recognize Intentions in Information Graphics....Pages 122-132
Leveraging Collaborative Effort to Infer Intent....Pages 133-137
Plan Recognition to Aid the Visually Impaired....Pages 138-142
Performance Evaluation of User Modeling Servers under Real-World Workload Conditions....Pages 143-153
Evaluating the Inference Mechanism of Adaptive Learning Systems....Pages 154-162
The Continuous Empirical Evaluation Approach: Evaluating Adaptive Web-Based Courses....Pages 163-167
Privacy Preservation Improvement by Learning Optimal Profile Generation Rate....Pages 168-177
Interfaces for Eliciting New User Preferences in Recommender Systems....Pages 178-187
Modeling Multitasking Users....Pages 188-197
VlUM , a Web-Based Visualisation of Large User Models....Pages 198-202
A Multiagent Approach to Obtain Open and Flexible User Models in Adaptive Learning Communities....Pages 203-207
A Model for Integrating an Adaptive Information Filter Utilizing Biosensor Data to Assess Cognitive Load....Pages 208-212
Ontology-Based User Modeling for Knowledge Management Systems....Pages 213-217
Motivating Cooperation on Peer to Peer Networks....Pages 218-227
Discourse Analysis Techniques for Modeling Group Interaction....Pages 228-237
Group Decision Making through Mediated Discussions....Pages 238-247
Modeling Task-Oriented Discussion Groups....Pages 248-257
Modeling the Multiple People That Are Me....Pages 258-262
Iems: Helping Users Manage Email....Pages 263-272
Modelling Reputation in Agent-Based Marketplaces to Improve the Performance of Buying Agents....Pages 273-282
Customising the Interaction with Configuration Systems....Pages 283-287
Does Adapted Information Help Patients with Cancer?....Pages 288-291
Empirical Evaluation of Adaptive User Modeling in a Medical Information Retrieval Application....Pages 292-296
Multivariate Preference Models and Decision Making with the MAUT Machine....Pages 297-302
Predicting Student Help-Request Behavior in an Intelligent Tutor for Reading....Pages 303-312
A Comparative Analysis of Cognitive Tutoring and Constraint-Based Modeling....Pages 313-322
Assessing Student Proficiency in a Reading Tutor That Listens....Pages 323-327
Adaptive Bayes for a Student Modeling Prediction Task Based on Learning Styles....Pages 328-332
User Modeling and Problem-Space Representation in the Tutor Runtime Engine....Pages 333-336
A Neuro-fuzzy Approach in Student Modeling....Pages 337-341
Student Modeling for an Intelligent Agent in a Collaborative Learning Environment....Pages 342-351
A Teaching Model Exploiting Cognitive Conflict Driven by a Bayesian Network....Pages 352-362
Towards Intelligent Agents for Collaborative Learning: Recognizing the Roles of Dialogue Participants....Pages 363-367
Modeling Student Performance to Enhance the Pedagogy of AutoTutor....Pages 368-372
Modeling Hinting Strategies for Geometry Theorem Proving....Pages 373-377
User Modelling in the Car....Pages 378-382
User Modelling and Mobile Learning....Pages 383-387
D-ME: Personal Interaction in Smart Environments....Pages 388-392
A User Modeling Markup Language (UserML) for Ubiquitous Computing....Pages 393-397
Purpose-Based User Modelling in a Multi-agent Portfolio Management System....Pages 398-402
User Modeling in Adaptive Audio-Augmented Museum Environments....Pages 403-407
MAPS: Dynamic Scaffolding for Independence for Persons with Cognitive Impairments....Pages 408-410
Adaptations of Multimodal Content in Dialog Systems Targeting Heterogeneous Devices....Pages 411-413
Learning Knowledge Rich User Models from the Semantic Web....Pages 414-416
Modeling User Navigation....Pages 417-419
A Longitudinal, Naturalistic Study of Information Search & Use Behavior as Implicit Feedback for User Model Construction & Maintenance....Pages 420-422
Facilitating the Comprehension of Online Learning Courses with Adaptivity....Pages 423-425
Scrutable User Models in Decentralised Adaptive Systems....Pages 426-428
A Pseudo-Supervised Approach to Improve a Recommender Based on Collaborative Filtering....Pages 429-431
Visualizing a User Model for Educational Adaptive Information Retrieval....Pages 432-434
