User Modeling 2003 : 9th International Conference, UM 2003, Johnstown, PA, USA, June 22-26, 2003, Proceedings / edited by Peter Brusilovsky, Albert Corbett, Firoella de Rosis.

Format:

Book

Contributor:

Brusilovsky, Peter, editor.

Corbett, Albert, editor.

de Rosis, Firoella, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 2702.

Lecture Notes in Artificial Intelligence ; 2702

Language:

English

Subjects (All):

Computer simulation.

User interfaces (Computer systems).

Artificial intelligence.

Application software.

Computers and civilization.

Simulation and Modeling.

User Interfaces and Human Computer Interaction.

Artificial Intelligence.

Information Systems Applications (incl. Internet).

Computers and Society.

Computer Appl. in Social and Behavioral Sciences.

Local Subjects:

Simulation and Modeling.

User Interfaces and Human Computer Interaction.

Artificial Intelligence.

Information Systems Applications (incl. Internet).

Computers and Society.

Computer Appl. in Social and Behavioral Sciences.

Physical Description:

1 online resource (XIV, 442 pages).

Edition:

First edition 2003.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.

System Details:

text file PDF

Summary:

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.

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, a Web-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 and Use Behavior as Implicit Feedback for User Model Construction and 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.

Other Format:

Printed edition:

ISBN:

978-3-540-44963-8

9783540449638

Access Restriction:

Restricted for use by site license.