User Modeling 2005
Springer Berlin (Verlag)
9783540278856 (ISBN)
The 33 revised full papers and 30 poster summaries presented together with papers of 12 selected doctoral consortium articles and the abstracts of 3 invited lectures were carefully reviewed and selected from 160 submissions.
The book offers topical sections on adaptive hypermedia, affective computing, data mining for personalization and cross-recommendation, ITS and adaptive advice, modeling and recognizing human activity, multimodality and ubiquitous computing, recommender systems, student modeling, user modeling and interactive systems, and Web site navigation support.
Invited Talks.- User Modeling Meets Usability Goals.- Hey, That's Personal!.- Inhabited Models: Supporting Coherent Behavior in Online Systems.- Papers.- Integrating Open User Modeling and Learning Content Management for the Semantic Web.- Modeling Suppositions in Users' Arguments.- Generative Programming Driven by User Models.- Data-Driven Refinement of a Probabilistic Model of User Affect.- Recognizing Emotion from Postures: Cross-Cultural Differences in User Modeling.- Recognizing, Modeling, and Responding to Users' Affective States.- Using Learner Focus of Attention to Detect Learner Motivation Factors.- Player Modeling Impact on Player's Entertainment in Computer Games.- Using Learning Curves to Mine Student Models.- Exploiting Probabilistic Latent Information for the Construction of Community Web Directories.- ExpertiseNet: Relational and Evolutionary Expert Modeling.- Task-Oriented Web User Modeling for Recommendation.- Ontologically-Enriched Unified User Modeling for Cross-System Personalization.- Using Student and Group Models to Support Teachers in Web-Based Distance Education.- Using Similarity to Infer Meta-cognitive Behaviors During Analogical Problem Solving.- COPPER: Modeling User Linguistic Production Competence in an Adaptive Collaborative Environment.- User Cognitive Style and Interface Design for Personal, Adaptive Learning. What to Model?.- Tailored Responses for Decision Support.- Decision Theoretic Dialogue Planning for Initiative Problems.- A Semi-automated Wizard of Oz Interface for Modeling Tutorial Strategies.- Generating Artificial Corpora for Plan Recognition.- Reasoning About Interaction in a Multi-user System.- A Comparison of HMMs and Dynamic Bayesian Networks for Recognizing Office Activities.- Modeling Agents That ExhibitVariable Performance in a Collaborative Setting.- Detecting When Students Game the System, Across Tutor Subjects and Classroom Cohorts.- A Bayesian Approach to Modelling Users' Information Display Preferences.- Modeling of the Residual Capability for People with Severe Motor Disabilities: Analysis of Hand Posture.- Non-intrusive User Modeling for a Multimedia Museum Visitors Guide System.- Modelling the Behaviour of Elderly People as a Means of Monitoring Well Being.- Bayesphone: Precomputation of Context-Sensitive Policies for Inquiry and Action in Mobile Devices.- Just Do What I Tell You: The Limited Impact of Instructions on Multimodal Integration Patterns.- Motion-Based Adaptation of Information Services for Mobile Users.- Interaction-Based Adaptation for Small Screen Devices.- Adapting Home Behavior to Its Inhabitants.- Design and Evaluation of a Music Retrieval Scheme That Adapts to the User's Impressions.- The Pursuit of Satisfaction: Affective State in Group Recommender Systems.- An Economic Model of User Rating in an Online Recommender System.- Incorporating Confidence in a Naive Bayesian Classifier.- Modeling User's Opinion Relevance to Recommending Research Papers.- User- and Community-Adaptive Rewards Mechanism for Sustainable Online Community.- Off-line Evaluation of Recommendation Functions.- Evaluating the Intrusion Cost of Recommending in Recommender Systems.- Introducing Prerequisite Relations in a Multi-layered Bayesian Student Model.- Exploring Eye Tracking to Increase Bandwidth in User Modeling.- Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems.- Modeling Individual and Collaborative Problem Solving in Medical Problem-Based Learning.- User Modeling in a Distributed E-Learning Architecture.- Computer AdaptiveTesting: Comparison of a Probabilistic Network Approach with Item Response Theory.- A Framework for Browsing, Manipulating and Maintaining Interoperable Learner Profiles.- Towards Efficient Item Calibration in Adaptive Testing.- Synergy of Performance-Based Model and Cognitive Trait Model in DP-ITS.- Up and Down the Number-Line: Modelling Collaboration in Contrasting School and Home Environments.- Temporal Blurring: A Privacy Mo
| Erscheint lt. Verlag | 18.7.2005 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XVI, 533 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 771 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Betriebssysteme / Server |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| Schlagworte | Adaptive Systems • Affective computing • Architecture • cognitive science • Computer-Assisted Learning • Data Mining • Distance Learning • HCI • Human-Computer interaction • Interface Agents • learning • Linguistics • Ontology • privacy • proving • semantic web • Student Modeling • ubiquitous computing • Uncertainty • User Collaboration • User Interfaces • User Modeling • Virtual Reality |
| ISBN-13 | 9783540278856 / 9783540278856 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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