Table of Contents

• Adaptive Interfaces for Ubiquitous Web AccessMichael J. Pazzani. 1 [doi]
• Computers That Recognize and Respond to User EmotionRosalind W. Picard. 2 [doi]
• The Advantages of Explicitly Representing Problem SpacesKurt VanLehn. 3 [doi]
• The Three Layers of Adaptation GranularityAlexandra I. Cristea, Licia Calvi. 4-14 [doi]
• Adaptive Presentation of Multimedia Interface Case Study: Brain Story CourseHalima Habieb-Mammar, Franck Tarpin-Bernard, Patrick Prévôt. 15-24 [doi]
• Discovering Prediction Rules in AHA! CoursesCristóbal Romero, Sebastián Ventura, Paul De Bra, Carlos de Castro. 25-34 [doi]
• Word Weighting Based on User s Browsing HistoryYutaka Matsuo. 35-44 [doi]
• SNIF-ACT: A Model of Information Foraging on the World Wide WebPeter Pirolli, Wai-Tat Fu. 45-54 [doi]
• Adapting to the User s Internet Search StrategyJean-David Ruvini. 55-64 [doi]
• Learning a Model of a Web User s InterestsTingshao Zhu, Russell Greiner, Gerald Häubl. 65-75 [doi]
• Modelling Users Interests and Needs for an Adaptive Online Information SystemEnrique Alfonseca, Pilar Rodríguez. 76-80 [doi]
• Declarative Specifications for Adaptive Hypermedia Based on a Semantic Web ApproachSerge Garlatti, Sébastien Iksal. 81-85 [doi]
• Emotional Dialogs with an Embodied AgentAddolorata Cavalluzzi, Berardina De Carolis, Valeria Carofiglio, Giuseppe Grassano. 86-95 [doi]
• Evaluating a Model to Disambiguate Natural Language Parses on the Basis of User Language ProficiencyLisa N. Michaud, Kathleen F. McCoy. 96-105 [doi]
• Incorporating a User Model into an Information Theoretic Framework for Argument InterpretationIngrid Zukerman, Sarah George, Mark George. 106-116 [doi]
• Using Dialogue Games to Maintain Diagnostic InteractionsVania Dimitrova. 117-121 [doi]
• Extending Plan Inference Techniques to Recognize Intentions in Information GraphicsStephanie Elzer, Nancy Green, Sandra Carberry, Kathleen F. McCoy. 122-132 [doi]
• Leveraging Collaborative Effort to Infer IntentJoshua Introne, Richard Alterman. 133-137 [doi]
• Plan Recognition to Aid the Visually ImpairedMarcus J. Huber, Richard Simpson. 138-142 [doi]
• Performance Evaluation of User Modeling Servers under Real-World Workload ConditionsAlfred Kobsa, Josef Fink. 143-153 [doi]
• Evaluating the Inference Mechanism of Adaptive Learning SystemsStephan Weibelzahl, Gerhard Weber. 154-162 [doi]
• The Continuous Empirical Evaluation Approach: Evaluating Adaptive Web-Based CoursesAlvaro Ortigosa, Rosa M. Carro. 163-167 [doi]
• Privacy Preservation Improvement by Learning Optimal Profile Generation RateTsvi Kuflik, Bracha Shapira, Yuval Elovici, Adlai Maschiach. 168-177 [doi]
• Interfaces for Eliciting New User Preferences in Recommender SystemsSean M. McNee, Shyong K. Lam, Joseph A. Konstan, John Riedl. 178-187 [doi]
• Modeling Multitasking UsersMalcolm Slaney, Jayashree Subrahmonia, Paul P. Maglio. 188-197 [doi]
• VlUM, a Web-Based Visualisation of Large User ModelsJames Uther, Judy Kay. 198-202 [doi]
• A Multiagent Approach to Obtain Open and Flexible User Models in Adaptive Learning CommunitiesFelix Hernandez-del-Olmo, Elena Gaudioso, Jesus Boticario. 203-207 [doi]
• A Model for Integrating an Adaptive Information Filter Utilizing Biosensor Data to Assess Cognitive LoadCurtis S. Ikehara, David N. Chin, Martha E. Crosby. 208-212 [doi]
• Ontology-Based User Modeling for Knowledge Management SystemsLiana Razmerita, Albert A. Angehrn, Alexander Maedche. 213-217 [doi]
• Motivating Cooperation on Peer to Peer NetworksHelen Bretzke, Julita Vassileva. 218-227 [doi]
• Discourse Analysis Techniques for Modeling Group InteractionAlexander Feinman, Richard Alterman. 228-237 [doi]
• Group Decision Making through Mediated DiscussionsDaniel Kudenko, Mathias Bauer, Dietmar Dengler. 238-247 [doi]
• Modeling Task-Oriented Discussion GroupsRoy Wilson. 248-257 [doi]
• Modeling the Multiple People That Are MeJudith Masthoff. 258-262 [doi]
• Iems: Helping Users Manage EmailEric McCreath, Judy Kay. 263-272 [doi]
• Modelling Reputation in Agent-Based Marketplaces to Improve the Performance of Buying AgentsThomas Tran, Robin Cohen. 273-282 [doi]
• Customising the Interaction with Configuration SystemsLiliana Ardissono, Anna Goy, Matt Holland, Giovanna Petrone, Ralph Schäfer. 283-287 [doi]
• Does Adapted Information Help Patients with Cancer?Diana Bental, Alison Cawsey, Janne Pearson, Ray Jones. 288-291 [doi]
• Empirical Evaluation of Adaptive User Modeling in a Medical Information Retrieval ApplicationEugene Santos Jr., Hien Nguyen, Qunhua Zhao, Erik Pukinskis. 292-296 [doi]
• Multivariate Preference Models and Decision Making with the MAUT MachineChristian Schmitt, Dietmar Dengler, Mathias Bauer. 297-302 [doi]
• Predicting Student Help-Request Behavior in an Intelligent Tutor for ReadingJoseph E. Beck, Peng Jia, June Sison, Jack Mostow. 303-312 [doi]
• A Comparative Analysis of Cognitive Tutoring and Constraint-Based ModelingAntonija Mitrovic, Kenneth R. Koedinger, Brent Martin. 313-322 [doi]
• Assessing Student Proficiency in a Reading Tutor That ListensJoseph E. Beck, Peng Jia, Jack Mostow. 323-327 [doi]
• Adaptive Bayes for a Student Modeling Prediction Task Based on Learning StylesGladys Castillo, João Gama, Ana M. Breda. 328-332 [doi]
• User Modeling and Problem-Space Representation in the Tutor Runtime EngineSteven Ritter, Stephen Blessing, Leslie Wheeler. 333-336 [doi]
• A Neuro-fuzzy Approach in Student ModelingRegina Stathacopoulou, Maria Grigoriadou, George D. Magoulas, Denis Mitropoulos. 337-341 [doi]
• Student Modeling for an Intelligent Agent in a Collaborative Learning EnvironmentFrank Linton, Bradley A. Goodman, Robert Gaimari, Jeffrey Zarrella, Helen Ross. 342-351 [doi]
• A Teaching Model Exploiting Cognitive Conflict Driven by a Bayesian NetworkKaye Stacey, Liz Sonenberg, Ann E. Nicholson, Tal Boneh, Vicki Steinle. 352-362 [doi]
• Towards Intelligent Agents for Collaborative Learning: Recognizing the Roles of Dialogue ParticipantsBradley A. Goodman, Janet Hitzeman, Frank Linton, Helen Ross. 363-367 [doi]
• Modeling Student Performance to Enhance the Pedagogy of AutoTutorG. Tanner Jackson, Eric Mathews, King-Ip Lin, Andrew Olney, Arthur C. Graesser. 368-372 [doi]
• Modeling Hinting Strategies for Geometry Theorem ProvingNoboru Matsuda, Kurt VanLehn. 373-377 [doi]
• User Modelling in the CarNiels Ole Bernsen. 378-382 [doi]
• User Modelling and Mobile LearningSusan Bull. 383-387 [doi]
• D-ME: Personal Interaction in Smart EnvironmentsBerardina De Carolis, Sebastiano Pizzutilo, Ignazio Palmisano. 388-392 [doi]
• A User Modeling Markup Language (UserML) for Ubiquitous ComputingDominik Heckmann, Antonio Krüger. 393-397 [doi]
• Purpose-Based User Modelling in a Multi-agent Portfolio Management SystemXiaolin Niu, Gordon I. McCalla, Julita Vassileva. 398-402 [doi]
• User Modeling in Adaptive Audio-Augmented Museum EnvironmentsAndreas Zimmermann, Andreas Lorenz, Marcus Specht. 403-407 [doi]
• MAPS: Dynamic Scaffolding for Independence for Persons with Cognitive ImpairmentsStefan Carmien. 408-410 [doi]
• Adaptations of Multimodal Content in Dialog Systems Targeting Heterogeneous DevicesSongsak Channarukul. 411-413 [doi]
• Learning Knowledge Rich User Models from the Semantic WebGunnar Aastrand Grimnes. 414-416 [doi]
• Modeling User NavigationEelco Herder. 417-419 [doi]
• A Longitudinal, Naturalistic Study of Information Search & Use Behavior as Implicit Feedback for User Model Construction & MaintenanceDiane Kelly. 420-422 [doi]
• Facilitating the Comprehension of Online Learning Courses with AdaptivityStefan Lippitsch. 423-425 [doi]
• Scrutable User Models in Decentralised Adaptive SystemsAndrew Lum. 426-428 [doi]
• A Pseudo-Supervised Approach to Improve a Recommender Based on Collaborative FilteringJosé David Martín-Guerrero. 429-431 [doi]
• Visualizing a User Model for Educational Adaptive Information RetrievalSwantje Willms. 432-434 [doi]