| User modeling meets usability goals | p. 1 |
| Hey, that's personal! | p. 4 |
| Inhabited models : supporting coherent behavior in online systems | p. 5 |
| Integrating open user modeling and learning content management for the semantic Web | p. 9 |
| Modeling suppositions in users' arguments | p. 19 |
| Generative programming driven by user models | p. 30 |
| Data-driven refinement of a probabilistic model of user affect | p. 40 |
| Recognizing emotion from postures : cross-cultural differences in user modeling | p. 50 |
| Recognizing, modeling, and responding to users' affective states | p. 60 |
| Using learner focus of attention to detect learner motivation factors | p. 70 |
| Player modeling impact on player's entertainment in computer games | p. 74 |
| Using learning curves to mine student models | p. 79 |
| Exploiting probabilistic latent information for the construction of community Web directories | p. 89 |
| ExpertiseNet : relational and evolutionary expert modeling | p. 99 |
| Task-oriented Web user modeling for recommendation | p. 109 |
| Ontologically-enriched unified user modeling for cross-system personalization | p. 119 |
| Using student and group models to support teachers in Web-based distance education | p. 124 |
| Using similarity to infer meta-cognitive behaviors during analogical problem solving | p. 134 |
| COPPER : modeling user linguistic production competence in an adaptive collaborative environment | p. 144 |
| User cognitive style and interface design for personal, adaptive learning. What to model? | p. 154 |
| Tailored responses for decision support | p. 164 |
| Decision theoretic dialogue planning for initiative problems | p. 169 |
| A semi-automated wizard of Cz interface for modeling tutorial strategies | p. 174 |
| Generating artificial corpora for plan recognition | p. 179 |
| Reasoning about interaction in a multi-user system | p. 189 |
| A comparison of HMMs and dynamic Bayesian networks for recognizing office activities | p. 199 |
| Modeling agents that exhibit variable performance in a collaborative setting | p. 210 |
| Detecting when students game the system, across tutor subjects and classroom cohorts | p. 220 |
| A Bayesian approach to modelling users' information display preferences | p. 225 |
| Modeling of the residual capability for people with severe disabilities : analysis of hand posture | p. 231 |
| Non-intrusive user modeling for a multimedia museum visitors guide system | p. 236 |
| Modelling the behaviour of elderly people as a means of monitoring well being | p. 241 |
| Bayesphone : precomputation of context-sensitive policies for inquiry and action in mobile devices | p. 251 |
| Just do what I tell you : the limited impact of instructions on multimodal integration patterns | p. 261 |
| Motion-based adaptation of information services for mobile users | p. 271 |
| Interaction-based adaptation for small screen devices | p. 277 |
| Adapting home behavior to its inhabitants | p. 282 |
| Design and evaluation of a music retrieval scheme that adapts to the user's impressions | p. 287 |
| The pursuit of satisfaction : affective state in group recommender systems | p. 297 |
| An economic model of user rating in an online recommender system | p. 307 |
| Incorporating confidence in a naive Bayesian classifier | p. 317 |
| Modeling user's opinion relevance to recommending research papers | p. 327 |
| User- and community-adaptive rewards mechanism for sustainable online community | p. 332 |
| Off-line evaluation of recommendation functions | p. 337 |
| Evaluating the intrusion cost of recommending in recommender systems | p. 342 |
| Introducing prerequisite relations in a multi-layered Bayesian student model | p. 347 |
| Exploring eye tracking to increase bandwidth in user modeling | p. 357 |
| Modeling students' metacognitive errors in two intelligent tutoring systems | p. 367 |
| Modeling individual and collaborative problem solving in medical problem-based learning | p. 377 |
| User modeling in a distributed E-learning architecture | p. 387 |
| Computer adaptive testing : comparison of a probabilistic network approach with item response theory | p. 392 |
| A framework for browsing, manipulating and maintaining interoperable learner profiles | p. 397 |
| Towards efficient item calibration in adaptive testing | p. 402 |
| Synergy of performance-based model and cognitive trait model in DP-ITS | p. 407 |
| Up and down the number-line : modelling collaboration in contrasting school and home environments | p. 412 |
| Temporal blurring : a privacy model for OMS users | p. 417 |
| A framework of context-sensitive visualization for user-centered interactive systems | p. 423 |
| GUMO - the general user model ontology | p. 428 |
| Balancing awareness and interruption : investigation of notification deferral policies | p. 433 |
| A decomposition model for the layered evaluation of interactive adaptive systems | p. 438 |
| User control over user adaptation : a case study | p. 443 |
| Towards user modeling meta-ontology | p. 448 |
| Evaluation of a system for personalized summarization of Web contents | p. 453 |
| Social navigation support through annotation-based group modeling | p. 463 |
| Discovering stages in Web navigation | p. 473 |
| The impact of link suggestions on user navigation and user perception | p. 483 |
| Modeling emotions from non-verbal behaviour in an affective tutoring system | p. 493 |
| Ubiquitous user modeling in recommender systems | p. 496 |
| User modelling to support user customization | p. 499 |
| ETAPP : a collaboration framework that copes with uncertainty regarding team members | p. 502 |
| Towards explicit physical object referencing | p. 506 |
| Adaptive user interfaces for in-vehicle devices | p. 509 |
| Agent-based ubiquitous user modeling | p. 512 |
| Using qualitative modelling approach to model motivational characteristics of learners | p. 515 |
| Improving explicit profile acquisition by means of adaptive natural language dialog | p. 518 |
| Modelling user ability in computer games | p. 521 |
| Constraint-sensitive privacy management for personalized Web-based systems | p. 524 |
| Modularized user modeling in conversational recommender systems | p. 527 |
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