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001 978-3-540-44566-1
003 DE-He213
005 20240423132552.0
007 cr nn 008mamaa
008 121227s2001 gw | s |||| 0|eng d
020 _a9783540445661
_9978-3-540-44566-1
024 7 _a10.1007/3-540-44566-8
_2doi
050 4 _aQA76.76.O63
072 7 _aUL
_2bicssc
072 7 _aCOM046000
_2bisacsh
072 7 _aUL
_2thema
082 0 4 _a005.43
_223
245 1 0 _aUser Modeling 2001
_h[electronic resource] :
_b8th International Conference, UM 2001, Sonthofen, Germany, July 13-17, 2001. Proceedings /
_cedited by Mathias Bauer, Piotr J. Gmytrasiewicz, Julita Vassileva.
250 _a1st ed. 2001.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2001.
300 _aXIV, 326 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v2109
505 0 _aFull 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.
650 0 _aOperating systems (Computers).
650 0 _aUser interfaces (Computer systems).
650 0 _aHuman-computer interaction.
650 0 _aComputer networks .
650 0 _aApplication software.
650 0 _aArtificial intelligence.
650 0 _aEducation
_xData processing.
650 1 4 _aOperating Systems.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aComputer Communication Networks.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputers and Education.
700 1 _aBauer, Mathias.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGmytrasiewicz, Piotr J.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aVassileva, Julita.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540423256
776 0 8 _iPrinted edition:
_z9783662179307
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v2109
856 4 0 _uhttps://doi.org/10.1007/3-540-44566-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
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