
Advances in User Modeling
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Content
- Title Page
- Preface
- Table of Contents
- ASTC: Adaptive Support for Team Collaboration
- Adaptive Support for Team Collaboration
- Motivation and Themes
- Workshop Contributions
- Discussion and Results
- References
- A Visualization Model Supporting an Efficient Context Resumption in Collaboration Environments
- Introduction
- Background
- Incremental Visualization of Awareness Information
- Higher Layer: Awareness Cloud
- Middle Layer: Hierarchical Views on Awareness Information
- Lower Layer: Context-Dependent Awareness Space
- Technical Details
- Tests
- Description
- Results and Discussion
- Related Work
- Conclusions
- References
- Scaffolding Collaborative Learning Opportunities: Integrating Microworld Use and Argumentation
- Introduction
- The Integrated Microworld and Discussion Environment in Use
- Context
- Scaffolding Opportunities during Model Construction
- Scaffolding Opportunities for Reflection and Argumentation
- Generic Cross-Tool Analysis
- Conclusions
- References
- AUM: Augmenting User Models with Real World Experiences to Enhance Personalization and Adaptation
- Augmenting User Models with Real World Experiences to Enhance Personalization and Adaptation
- Introduction
- Background
- Workshop Themes
- Summary and Main Outcomes
- References
- The Personal Adaptive In-Car HMI: Integration of External Applications for Personalized Use
- Introduction
- Related Work
- User Interface Generation
- User Interface Personalization
- Personalization of Generated User Interfaces: Use Case
- Abstract Modeling for User Interface Generation
- User Interface Personalization
- Personalization Component: In- and Output
- Personalization Component: Internals
- Action Discovery.
- Context Discovery.
- Situation Discovery.
- Extension of the Interaction Model
- Discussion
- Conclusions and Future Work
- References
- Core Aspects of Affective Metacognitive User Models
- Introduction
- Cognitive, Metacognitive, and Affective Systems
- Models to Support Metacognition and Affect
- Core Aspects of a Proposed Affective-Metacognitive Model
- Future Work
- Conclusions
- References
- Recommender Systems and the Social Web
- Introduction
- Background and Related Work
- Mapping Social Web Services Contribution to Classical Recommender Systems Approaches
- Evaluation
- Theoretical Use Case
- Discussion
- Reference
- Identifying Relevant YouTube Comments to Derive Socially Augmented User Models: A Semantically Enriched Machine Learning Approach
- Introduction
- Socially Augmented User Models: Research Roadmap
- The Social Noise Filtering Approach
- Filtering Noisy YouTube Comments: Methodology
- Pre-processing the YouTube Comments
- Building the Semantically Enriched Vocabulary
- Computing the Relevance Scores and Labelling the Comments
- Related Work
- Experimental Results
- Evaluation
- Conclusion and Future Work
- References
- DEMRA: Decision Making and Recommendation Acceptance Issues in Recommender Systems
- Decision Making and Recommendation Acceptance Issues in Recommender Systems
- Motivation and Objectives
- Summary of the Workshop Contributions
- Future Research Directions
- References
- Designing an Explanation Interface for Proactive Recommendations in Automotive Scenarios
- Introduction
- Fundamentals and Related Work
- Our Approach for Explanations in Proactive Recommender Systems
- Preliminary Study
- Overview
- Argument Assessment
- Explanation Process
- Evaluation
- User Study Setup
- Results
- Design of the In-car User Interface
- Unobstrusiveness
- Accessibility
- Transparency and Explanations
- Conclusions and Future Work
- References
- Group Decision Support for Requirements Negotiation
- Introduction
- IntelliReq Environment
- Application Scenario
- User Interface and Functionalities
- Empirical Study
- Study Design
- Study Hypotheses
- Study Results
- Related Work
- Conclusions
- References
- PALE: Personalization Approaches in Learning Environments
- Personalization Approaches in Learning Environments
- Introduction
- State of the Art
- Future Research Directions
- References
- A Procedure to Automatically Adapt Questions in Student - Pedagogic Conversational Agent Dialogues
- Introduction
- Related Work
- Procedure
- The Student Completes the Soloman-Felder Learning Styles Test
- The Student Completes the Big Five Personality Test
- The Teacher Introduces the Original Questions
- New Questions Are Generated
- Students Are Asked the Questions
- Experiment
- Conclusions and Future Work
- References
- Modelling Empathy in Social Robotic Companions
- Introduction
- Related Work
- Towards an Empathic Chess Companion
- Modelling the User's Affective State
- Adaptive Empathic Responses
- Experiment
- Procedure
- Results
- Discussion and Future Work
- References
- Understanding Student Attention to Adaptive Hints with Eye-Tracking
- Introduction
- The Prime Climb Game
- Sample Gaze Analysis
- Data Collection
- Analysis of Fixation Data: Subject 1
- Analysis of Fixation Data: Subject 2
- Summary of Results
- Conclusions and Future Work
- References
- Psycho-pedagogical Mash-Up Design for Personalising the Learning Environment
- Introduction
- Educational Components
- Learning Activities and Concepts of Learning Methods
- Learning Strategies and Learning Techniques
- Key Activities
- Concrete Activities
- The Self-regulated Learning Process Model
- Assigning Learning Techniques to Learning Strategies
- Assigning Widgets to Learning Techniques
- The Role of Competences
- Mash-Up Design Guidelines
- Guideline 1: Cover All Phases of the Self-regulated Learning Process Model
- Guideline 2: Tool Competence
- Guideline 3: Number of Widgets
- Guideline 4: Domain Aspects
- Guideline 5: Suggesting Concrete Learning Activities
- Support Strategies
- Recommendation Approach
- Template Approach
- Implementation Approach
- Validation and Evaluation Criteria
- Conclusion and Outlook
- References
- SASWeb: Semantic Adaptive Social Web
- Semantic Adaptive Social Web
- Introduction
- Main Trends in Social Semantic Web
- Discussion and Conclusions
- References
- Semantic Disambiguation and Contextualisation of Social Tags
- Introduction
- Semantic Contexts of Social Tags
- Tag Similarities
- Tag Clustering
- Semantically Contextualised Tag-Based Profiles
- Preliminary Analysis
- Datasets
- Tag Meanings and Contexts
- Tag Similarities
- Related Work
- Conclusions and Future Work
- References
- Folkview: A Multi-agent System Approach to Modeling Folksonomies
- Introduction
- Related Work
- Folkview: The Formal Model
- The Storage Layer
- The Semantic Layer
- The Social Layer
- The Presentation Layer
- Visualization and Authoring
- Dynamic Views
- Authoring
- Conclusion and Future Work
- References
- Selective Propagation of Social Data in Decentralized Online Social Network
- Introduction
- Background and Motivation
- Online Social Networks
- Decentralizing Online Social Networks
- Information Dissemination
- Modeling User Interests
- Summary
- Approach and Architecture
- System Architecture
- Selective Propagation of Social Data
- Evaluation through Simulation
- Conclusions
- References
- TRUM: Trust, Reputation and User Modeling
- Trust, Reputation and User Modeling
- Introduction
- Themes Represented
- T&R in UM
- UM in T&R
- User Trust
- Conclusions
- References
- Recommending Services in a Trust-Based Decentralized User Modeling System
- Introduction
- Literature Review
- User Modeling and Recommending Services
- Trust and Reputation
- Problem Statement
- Example Scenario
- Model
- Experiments and Discussion
- Experimental Setting
- Results
- Analysis
- Conclusion and Future Works
- References
- Building Trust Communities Using Social Trust
- Introduction
- Our Approach
- Social Trust Model
- Social Trust Definition
- Social Trust Information Collection
- Social Trust Evaluation
- Recommendation System
- Visualisation System
- Discussions and Future Work
- References
- Improving Access Control for Mobile Consumers of Services by Use of Context and Trust within the Call-Stack
- The Need to Re-think Access Control
- Mobile Consumers and Their Impact on Access-Control
- Services, Composite Services and Service Ecologies
- Using Call-Context to Determine Trust
- Adding Trust Evaluation to the Call Stack
- Integrating the Call-Stack Based Trust and Context into REST
- Summary and Future Work
- References
- The Influence of Interaction Attributes on Trust in Virtual Communities
- Introduction
- Trust in Virtual Communities
- Hypotheses
- Evaluation
- Data Collection
- Experiments
- Result Analysis
- Trust Ranking-Based Recommendation: TruRank
- Conclusions
- References
- Decision Making and Recommendation Protocol Based on Trust for Multi-agent Systems
- Introduction
- Motivation for Decision Making Protocol
- Trust as Multi-contextual Mental Attitude
- Trust Representation
- Multi-contextual Trust
- Decision Making and Recommendation Protocol
- Basic Protocol Notation
- Model Scenario
- Decision Making about the Agent for Cooperation
- Demonstration of Proposed Algorithm
- Experiments
- Basic Scenarios
- Good vs Malicious Agents
- Conclusion
- References
- Handling Subjective User Feedback for Reputation Computation in Virtual Reality
- Introduction
- Related Work
- Approach
- Sensory Stimuli
- User Feedback
- Subjectivity Alignment
- Reputation Computation
- Conclusion and Future Work
- References
- UMADR: User Modeling and Adaptation for Daily Routines: Providing Assistance to People with Special and Specific Needs
- User Modeling and Adaptation for Daily Routines: Providing Assistance to People with Special and Specific Needs
- Introduction
- Main Contributions
- Discussion and Future Directions
- References
- Guiding Patients in the Hospital
- Introduction
- MobiDay: Advisory Services for Patients and Clinicians
- MobiDay 1: A Mobile Application for Oncological Outpatients
- MobiDay 2: an Enhanced Web Based System
- Mobile Web Solution
- Workflow Management
- Distributed User Interfaces
- Research Issues
- Conclusions
- References
- Supportive Adaptive User Interfaces Inside and Outside the Home
- Introduction
- Related Work
- Adaptive User Interfaces
- Ambient Assisted Living and Ubiquitous Computing
- The Experience of the Laboratory of HCI for Special Needs
- Egoki Scenario
- The Egoki Architecture
- The Merged Architecture
- Models in the Merged Architecture
- User Interfaces in the Merged Architecture
- Validation Strategy
- Extending Daily Routine Support to Ubiquitous Services
- Conclusion and Discussion
- References
- User Models for Motivational Systems
- Introduction
- Summary of the Workshop Contributions
- Future Research Directions
- References
- Impact of Implicit and Explicit Affective Labeling on a Recommender System's Performance
- Introduction
- Problem Statement and Proposed Solution
- Related Work
- Affective Modeling in CBR Systems
- Emotions During Multimedia Items Consumption
- Affective Modeling in a CBR System
- Experiment
- Overview of the Emotion Detection Algorithm for Implicit Affective Labeling
- Overview of the CBR Procedure
- Affective CBR System Evaluation Methodology
- Results
- Discussion
- Pending Issues and Future Work
- Conclusion
- References
- Arguing about Emotion
- Introduction
- Emotions in the Law
- Various Forms
- Jury Instructions
- Analysis of Emotions
- Argumentation Schemes
- Emotional Argumentation Schemes for CALCRIMNo. 511
- Future Work and Conclusion
- References
- Motivating People in Smart Environments
- Introduction
- Ambient Persuasion and Well-Being
- The Proposed System
- An Overview of PORTIA
- The System Architecture
- An Example
- The Initial Phase
- The Persuasion Phase
- The Support Phase
- Conclusions and Future Work Directions
- References
- Towards Adaptive Recruitment and Engagement Mechanisms in Social Systems
- Introduction
- Related Work
- The Study
- The System
- The Study Design
- The Results
- Discussion and Future Work
- Conclusion
- References
- Selected Posters
- Towards a New Dimension for User Modeling: The Use of Sensory Vocabulary
- Introduction
- Method
- Results: The Use of Sensory Vocabulary in Forums
- Conclusions and Outlook
- References
- SERUM: Collecting Semantic User Behavior for Improved News Recommendations
- Introduction
- SERUM Architecture
- Conclusions
- References
- INGRID: A Web Service Tool for Hierarchical Open Learner Model Visualization
- Introduction
- Open Learner Model Visualization
- Conclusions
- References
- An Acceptance Model of Recommender Systems Based on a Large-Scale Internet Survey
- Introduction
- Large-Scale Internet Survey Using Pseudo-services
- Acceptance Model
- Discussion and Future Work
- References
- Author Index
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