Advances in User Modeling

Name: Advances in User Modeling | UMAP 2011 Workshops, Girona, Spain, July 11-15, 2011, Revised Selected Papers
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UMAP 2011 Workshops, Girona, Spain, July 11-15, 2011, Revised Selected Papers

Liliana Ardissono Tsvi Kuflik(Herausgeber*in)

Springer (Verlag)

Erschienen am 23. Februar 2012

X, 416 Seiten

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978-3-642-28509-7 (ISBN)

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Inhalt

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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