User Modeling 2007: 11th International Conference, UM 2007, Corfu, Greece, July 25-29, 2007, ProceedingsCristina Conati, Kathleen McCoy, Georgios Paliouras Springer Science & Business Media, 2007 M06 15 - 496 pages As the variety and complexity of interactive systems increase, understanding how a system can dynamically capture relevant user needs and traits, and - tomatically adapting its interaction to this information, has become critical for devising e?ective advanced services and interfaces. The International User M- eling Conference represents the central forum for presenting the advances in the research and development of personalized, user-adaptive systems. Bi-annual scienti?c meetings of the user modeling community started in 1986 as a small invitational workshop held in Maria Laach, Germany, with 24 participants. The workshops continued with an open format, and grew into an international c- ference with 74 submissions in 1994. While maintaining its feel as a highly - gaged and intimate community, the conference has continued to grow, reaching the record number of 169 submissions (153 full papers and 16 posters) in this current edition, held in Corfu, Greece. With an acceptance rate of 19. 6% for long papers and 38% for posters, - lected by a team of reviewers who proved to be exceptionally thorough and thoughtful in their reviewers, this year’s program followed the high standards set by the previous editions, and presented an exciting range of interdisciplinary work covering topics such as cognitive modeling, modeling of user a?ect and meta-cognition,empirical evaluations of noveltechniques, user modeling for - bilecomputingandrecommendersystems,useradaptivityandusability. |
Contents
UserCentered Interaction Design for Smart Artefacts | 1 |
Toward a New Medium for Exchanging Experiences | 3 |
The Present and the Future | 5 |
Exploiting Evidence Analysis in Plan Recognition | 7 |
Modeling the Acquisition of Fluent Skill in Educational Action Games | 17 |
An Evaluation of the Push Approach to Evidence Propagation | 27 |
Principles of Lifelong Learning for Predictive User Modeling | 37 |
Studying Active Participation and Community Evolution | 47 |
A User Model of Psychophysiological Measure of Emotion | 319 |
A UserItem Predictive Model for Collaborative Filtering Recommendation | 324 |
Automatic Generation of Students Conceptual Models from Answers in Plain Text | 329 |
Capturing User Interests by Both Exploitation and Exploration | 334 |
Conceptualizing Student Models for ICALL | 340 |
ContextDependent User Modelling for Smart Homes | 345 |
A Study of Interruptions and Recovery of Task Activity | 350 |
CrossDomain Mediation in Collaborative Filtering | 355 |
Privacy Preserving Cross System Personalization | 57 |
Construction of OntologyBased User Model for Web Personalization | 67 |
Aiding User Critiques in Recommender Systems | 77 |
Delivering Personalised Recommendations in Multiuser Environments | 87 |
FeatureWeighted User Model for Recommender Systems | 97 |
Evaluating a Simulated Student Using Real Students Data for Training and Testing | 107 |
Modeling Students Natural Language Explanations | 117 |
Applications for Cognitive User Modeling | 127 |
A Fundamental Problem of Student Modeling | 137 |
Understanding the Utility of Rationale in a MixedInitiative System for GUI Customization | 147 |
Respecting Users Individual Privacy Constraints in Web Personalization | 157 |
Personalized Previews of AlternativeRoutes in Virtual Environments | 167 |
An EyeTracking Investigation | 177 |
EEGRelated Changes in Cognitive Workload Engagement and Distraction as Students Acquire Problem Solving Skills | 187 |
Eliciting Motivation Knowledge from Log Files Towards Motivation Diagnosis for Adaptive Systems | 197 |
A Dynamic Bayesian Network Approach | 207 |
Extending a ConstraintBased Tutoring System to Support Collaboration | 217 |
Methods and Models | 228 |
Analyzing Museum Visitors Behavior Patterns | 238 |
A ContextAware Movie Preference Model Using a Bayesian Network for Recommendation and Promotion | 247 |
Validation of a Causal Model | 258 |
Improving Social Filtering Techniques Through WordNetBased User Profiles | 268 |
Supporting Word of Mouth | 278 |
Evaluation of Modeling Music Similarity Perception Via Feature Subset Selection | 288 |
A Practical Activity Capture Framework for Personal Lifetime User Modeling | 298 |
A Probabilistic Relational Student Model for VirtualLaboratories | 303 |
A SemanticsBased Dialogue for Interoperability of UserAdaptive Systems in a Ubiquitous Environment | 309 |
A User Independent Biosignal Based Emotion Recognition Method | 314 |
Driver Destination Models | 360 |
Enabling Efficient Real Time User Modeling in OnLine Campus | 365 |
Eliciting Adaptation Knowledge from OnLine Tutors to Increase Motivation | 370 |
Improving User Taught Task Models | 375 |
Inducing User Affect Recognition Models for TaskOriented Environments | 380 |
The Rijksmuseum Case Study | 385 |
Kansei Processing Agent for Personalizing Retrieval | 390 |
Maximizing the Utility of Situated Public Displays | 395 |
Modeling Preferences in a Distributed Recommender System | 400 |
Multiple Evidence Combination in Web Site Search Based on Users Access Histories | 405 |
Flexible Sharing of Location Information | 410 |
Opportunities and Challenges for User Modelling | 415 |
Personalized Control of Smart Environments | 420 |
Studying Model Ambiguity in a Language ITS | 425 |
Tailoring and the Efficiency of Information Seeking | 430 |
The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks | 435 |
Supporting the User Decision in Mobile Social Software Applications | 440 |
How Can User Model Benefit from Tags? | 445 |
Web Customer Modeling for Automated Session Prioritization on High Traffic Sites | 450 |
Whats in a Step? Toward General Abstract Representations of Tutoring System Log Data | 455 |
Encouraging Contributions to Online Communities with Personalization and Incentives | 460 |
SemanticEnhanced Personalised Support for Knowledge Sharing in Virtual Communities | 465 |
Explaining Recommendations | 470 |
Designing Persuasive Health Behaviour Change Dialogs | 475 |
UserCentered Design for Personalized Access to Cultural Heritage | 480 |
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Common terms and phrases
accuracy ACT-R action activity adaptive algorithm analysis applications approach Artificial Intelligence average Bayesian network behavior Berlin Heidelberg 2007 cluster cognitive model Cognitive Tutor collaborative filtering community instances components computing Conati concepts constraints construct context critiques Data Mining destination domain dynamic effective environment error evaluation evidence example experiment goals graph improve individual inference Intelligent Tutoring Systems interaction interface Kansei Knowledge Tracing learner model LNAI log files machine learning mashups matrix McCoy method motivation movie MovieLens nodes ontology Paliouras Eds parameters participants performance personalisation personalized prediction problem push-poll ratings rationale recommender systems Relevance Feedbacks representation retrieval route selected semantic server session similarity SimStudent skills Springer-Verlag Berlin Heidelberg strategies structure student model Table tags target task task models topics update user model user preferences user profile user’s WordNet