User Modeling 2001: 8th International Conference, UM 2001, Sonthofen, Germany, July 13-17, 2001. Proceedings: Lecture Notes in Computer Science, cartea 2109
Editat de Mathias Bauer, Piotr J. Gmytrasiewicz, Julita Vassilevaen Limba Engleză Paperback – 27 iun 2001
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Specificații
ISBN-13: 9783540423256
ISBN-10: 3540423257
Pagini: 340
Ilustrații: XIV, 326 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.79 kg
Ediția:2001
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540423257
Pagini: 340
Ilustrații: XIV, 326 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.79 kg
Ediția:2001
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Full Papers.- Harnessing Models of Users’ Goals to Mediate Clarification Dialog in Spoken Language Systems.- Modeling the Acquisition of English: An Intelligent CALL Approach ?.- Recognizing Time Pressure and Cognitive Load on the Basis of Speech: An Experimental Study.- The Learning Shell: Automated Macro Construction.- Learning Interaction Models in a Digital Library Service.- A User Modeling Approach to Determining System Initiative in Mixed-Initiative AI Systems.- Collaborating with Focused and Unfocused Users under Imperfect Communication.- Improving User Modelling with Content-Based Techniques.- An Integrated Approach for Generating Arguments and Rebuttals and Understanding Rejoinders.- Acquiring User Preferences for Product Customization.- Utility-Based Decision Tree Optimization: A Framework for Adaptive Interviewing.- User Modelling in I-Help: What, Why, When and How.- An Adaptive User-Interface-Agent Modeling Communication Availability.- Cognitive Computer Tutors: Solving the Two-Sigma Problem.- Applying Interactive Open Learner Models to Learning Technical Terminology.- Student and Instructor Models: Two Kinds of User Model and Their Interaction in an ITS Authoring Tool.- METIORE: A Personalized Information Retrieval System.- Personalizing Delivered Information in a Software Reuse Environment.- Automating Personal Categorization Using Artificial Neural Networks.- Posters.- User Modelling as an Aid for Human Web Assistants.- Modelling the Interests of a News Service User.- Category Based Customization Approach for Information Retrieval.- Using Rollouts to Induce a Policy from a User Model.- Tailoring the Content of Dynamically Generated Explanations.- A User Model Based on Content Analysis for the Intelligent Personalization of a News Service.- ModelingExploratory Behaviour.- Ascribing and Weighting Beliefs in Deceptive Information Exchanges.- Visual Search and Background Complexity: Does the Forest Hide the Trees?.- Characterizing Sequences of User Actions for Access Logs Analysis.- Modeling Literary Style for Semi-automatic Generation of Poetry.- Perceptual Considerations for Quality of Service Management: An Integrated Architecture.- Emotions and Personality in Agent Design and Modeling.- Using Document Structures for Personal Ontologies and User Modeling*.- User-Tailored Plan Presentation.- Investigating Students’ Self-Assessment Skills.- Generating Personal Travel Guides - And Who Wants Them?.- Inspectability and User Controlled Revision on Long Term User Models.- Getting the Right Information to the Right Person.- Goals, Tasks and Application Domains as the Guidelines for Defining a Framework for User Modelling.- Doctoral Consortium.- Improving Student Models by Reasoning about Cognitive Ability, Emotions and Gender.- Integrating Multilingual Text Classification Tasks and User Modeling in Personalized Newspaper Services.- Enhancing Embodied Intelligent Agents with Affective User Modelling.- Designing TV Viewer Stereotypes for an Electronic Program Guide.- AGENDA CULTUREL An Adaptive Cultural Information Service.- Ubiquitous User Modeling for Situated Interaction.- An Intelligent Pedagogical Agent in CALL.- How to Learn More about Users from Implicit Observations1.- Student Modelling for CALL Based on Pedagogical Standards.- Evaluation of Adaptive Systems.- Supporting Negotiated Assessment Using Open Student Models.- Using Markov Chains for Structural Link Prediction in Adaptive Web Sites.- Invited Talks.- Tailoring Privacy to Users’ Needs 1.- Heavyweight Applications of Lightweight User Models: A Look atCollaborative Filtering, Recommender Systems, and Real-Time Personalization.- Eye Tracking: A Rich Source of Information for User Modeling.
Caracteristici
Includes supplementary material: sn.pub/extras