User Modeling, Adaptation, and Personalization

Inhaltsverzeichnis

• Keynote Speakers.
• Modeling Emotion and Its Expression in Virtual Humans.
• AdHeat — An Influence-Based Diffusion Model for Propagating Hints to Personalize Social Ads.
• Full Research Papers.
• Can Concept-Based User Modeling Improve Adaptive Visualization?.
• Interweaving Public User Profiles on the Web.
• Modeling Long-Term Search Engine Usage.
• Analysis of Strategies for Building Group Profiles.
• Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor.
• Working Memory Span and E-Learning: The Effect of Personalization Techniques on Learners’ Performance.
• Scaffolding Self-directed Learning with Personalized Learning Goal Recommendations.
• Instructional Video Content Employing User Behavior Analysis: Time Dependent Annotation with Levels of Detail.
• A User-and Item-Aware Weighting Scheme for Combining Predictive User Models.
• PersonisJ: Mobile, Client-Side User Modelling.
• Twitter, Sensors and UI: Robust Context Modeling for Interruption Management.
• Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems.
• Inducing Effective Pedagogical Strategies Using Learning Context Features.
• “Yes!”: Using Tutor and Sensor Data to Predict Moments of Delight during Instructional Activities.
• A Personalized Graph-Based Document Ranking Model Using a Semantic User Profile.
• Interaction and Personalization of Criteria in Recommender Systems.
• Collaborative Inference of Sentiments from Texts.
• User Modelling for Exclusion and Anomaly Detection: A Behavioural Intrusion Detection System.
• IntrospectiveViews: An Interface for Scrutinizing Semantic User Models.
• Analyzing Community Knowledge Sharing Behavior.
• A Data-Driven Technique for Misconception Elicitation.
• Modeling Individualization in a Bayesian NetworksImplementation of Knowledge Tracing.
• Detecting Gaming the System in Constraint-Based Tutors.
• Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media.
• A Study on User Perception of Personality-Based Recommender Systems.
• Compass to Locate the User Model I Need: Building the Bridge between Researchers and Practitioners in User Modeling.
• Industry Papers.
• myCOMAND Automotive User Interface: Personalized Interaction with Multimedia Content Based on Fuzzy Preference Modeling.
• User Modeling for Telecommunication Applications: Experiences and Practical Implications.
• Mobile Web Profiling: A Study of Off-Portal Surfing Habits of Mobile Users.
• Personalized Implicit Learning in a Music Recommender System.
• Short Research Papers.
• Personalised Pathway Prediction.
• Towards a Customization of Rating Scales in Adaptive Systems.
• Eye-Tracking Study of User Behavior in Recommender Interfaces.
• Recommending Food: Reasoning on Recipes and Ingredients.
• Disambiguating Search by Leveraging a Social Context Based on the Stream of User’s Activity.
• Features of an Independent Open Learner Model Influencing Uptake by University Students.
• Doctoral Consortium Papers.
• Recognizing and Predicting the Impact on Human Emotion (Affect) Using Computing Systems.
• Utilising User Texts to Improve Recommendations.
• Semantically-Enhanced Ubiquitous User Modeling.
• User Modeling Based on Emergent Domain Semantics.
• “Biographic spaces”: A Personalized Smoking Cessation Intervention in Second Life.
• Task-Based User Modelling for Knowledge Work Support.
• Enhancing User Interaction in Virtual Environments through Adaptive Personalized 3D Interaction Techniques.