Overview

This book constitutes the refereed proceedings of the 9th International Conference on User Modeling, UM 2003, held in Johnstown, PA, USA in June 2003. The 20 revised full papers and 28 revised poster papers presented together with 12 abstracts were carefully reviewed and selected from 106 submissions. The papers are organized in topical sections on adaptive hypermedia, adaptive Web, natural language and dialogue, plan recognition, evaluation, emerging issues of user modeling, group modeling and cooperation, applications, student modeling, learning environments - natural language and paedagogy, and mobile and ubiquitous computing.

Full Product Details

Author:   Peter Brusilovsky ,  Albert Corbett ,  Firoella de Rosis
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2003 ed.
Volume:   2702
Dimensions:   Width: 15.50cm , Height: 2.30cm , Length: 23.30cm
Weight:   0.686kg
ISBN:  

9783540403814

ISBN 10:   3540403817
Pages:   442
Publication Date:   05 June 2003
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  Tertiary & Higher Education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Abstracts of Invited Talks.- Adaptive Interfaces for Ubiquitous Web Access.- Computers That Recognize and Respond to User Emotion.- The Advantages of Explicitly Representing Problem Spaces.- Adaptive Hypermedia.- The Three Layers of Adaptation Granularity.- Adaptive Presentation of Multimedia Interface Case Study: “Brain Story” Course.- Discovering Prediction Rules in AHA! Courses.- Adaptive Web.- Word Weighting Based on User’s Browsing History.- SNIF-ACT: A Model of Information Foraging on the World Wide Web.- Adapting to the User’s Internet Search Strategy.- Learning a Model of a Web User’s Interests.- Modelling Users’ Interests and Needs for an Adaptive Online Information System.- Declarative Specifications for Adaptive Hypermedia Based on a Semantic Web Approach.- Natural Language and Dialog.- Emotional Dialogs with an Embodied Agent.- Evaluating a Model to Disambiguate Natural Language Parses on the Basis of User Language Proficiency.- Incorporating a User Model into an Information Theoretic Framework for Argument Interpretation.- Using Dialogue Games to Maintain Diagnostic Interactions.- Plan Recognition.- Extending Plan Inference Techniques to Recognize Intentions in Information Graphics.- Leveraging Collaborative Effort to Infer Intent.- Plan Recognition to Aid the Visually Impaired.- Evaluation.- Performance Evaluation of User Modeling Servers under Real-World Workload Conditions.- Evaluating the Inference Mechanism of Adaptive Learning Systems.- The Continuous Empirical Evaluation Approach: Evaluating Adaptive Web-Based Courses.- Emerging Issues of User Modeling.- Privacy Preservation Improvement by Learning Optimal Profile Generation Rate.- Interfaces for Eliciting New User Preferences in Recommender Systems.- Modeling Multitasking Users.- VlUM, aWeb-Based Visualisation of Large User Models.- A Multiagent Approach to Obtain Open and Flexible User Models in Adaptive Learning Communities.- A Model for Integrating an Adaptive Information Filter Utilizing Biosensor Data to Assess Cognitive Load.- Ontology-Based User Modeling for Knowledge Management Systems.- Group Modeling and Cooperation.- Motivating Cooperation on Peer to Peer Networks.- Discourse Analysis Techniques for Modeling Group Interaction.- Group Decision Making through Mediated Discussions.- Modeling Task-Oriented Discussion Groups.- Modeling the Multiple People That Are Me.- Applications.- Iems: Helping Users Manage Email.- Modelling Reputation in Agent-Based Marketplaces to Improve the Performance of Buying Agents.- Customising the Interaction with Configuration Systems.- Does Adapted Information Help Patients with Cancer?.- Empirical Evaluation of Adaptive User Modeling in a Medical Information Retrieval Application.- Multivariate Preference Models and Decision Making with the MAUT Machine.- Student Modeling Methods.- Predicting Student Help-Request Behavior in an Intelligent Tutor for Reading.- A Comparative Analysis of Cognitive Tutoring and Constraint-Based Modeling.- Assessing Student Proficiency in a Reading Tutor That Listens.- Adaptive Bayes for a Student Modeling Prediction Task Based on Learning Styles.- User Modeling and Problem-Space Representation in the Tutor Runtime Engine.- A Neuro-fuzzy Approach in Student Modeling.- Learning Environments: Natural Language and Pedagogy.- Student Modeling for an Intelligent Agent in a Collaborative Learning Environment.- A Teaching Model Exploiting Cognitive Conflict Driven by a Bayesian Network.- Towards Intelligent Agents for Collaborative Learning: Recognizing the Roles of Dialogue Participants.- Modeling Student Performance to Enhance the Pedagogy of AutoTutor.- Modeling Hinting Strategies for Geometry Theorem Proving.- Mobile and Ubiquitous Computing.- User Modelling in the Car.- User Modelling and Mobile Learning.- D-ME: Personal Interaction in Smart Environments.- A User Modeling Markup Language (UserML) for Ubiquitous Computing.- Purpose-Based User Modelling in a Multi-agent Portfolio Management System.- User Modeling in Adaptive Audio-Augmented Museum Environments.- Doctoral Consortium Papers.- MAPS: Dynamic Scaffolding for Independence for Persons with Cognitive Impairments.- Adaptations of Multimodal Content in Dialog Systems Targeting Heterogeneous Devices.- Learning Knowledge Rich User Models from the Semantic Web.- Modeling User Navigation.- A Longitudinal, Naturalistic Study of Information Search & Use Behavior as Implicit Feedback for User Model Construction & Maintenance.- Facilitating the Comprehension of Online Learning Courses with Adaptivity.- Scrutable User Models in Decentralised Adaptive Systems.- A Pseudo-Supervised Approach to Improve a Recommender Based on Collaborative Filtering.- Visualizing a User Model for Educational Adaptive Information Retrieval.

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