Affective Computing and Intelligent Interaction

Name: Affective Computing and Intelligent Interaction | Fourth International Conference, ACII 2011, Memphis,TN, USA, October 9-12, 2011; Proceedings, Part II
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Fourth International Conference, ACII 2011, Memphis,TN, USA, October 9-12, 2011; Proceedings, Part II

Sidney D´Mello Arthur Graesser Bjoern Schuller Jean-Claude Martin(Editor)

Springer (Publisher)

Published on 18. October 2011

XXVIII, 612 pages

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978-3-642-24571-8 (ISBN)

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Content

Title page
Preface
Organization
Table of Contents
Poster Papers
Emotion Twenty Questions: Toward a Crowd-Sourced Theory of Emotions
Introduction
EMO20Q
Rules
Motivation
Constructing a Theory from EMO20Q
Results
Discussion
Conclusion
References
A Pattern-Based Model for Generating Text to Express Emotion
Introduction
Our Model to Generate Emotion Sentences
Data Set
Parsing and Tokenization
Pattern Extraction
Pattern Analysis
Sentence Planner
Surface Realization
Examples and Results
Conclusion and Future Work
References
Interpretations of Artificial Subtle Expressions (ASEs) in Terms of Different Types of Artifact: A Comparison of an on-screen Artifact with A Robot
Introduction
Experiment
Setting
Utilized ASE
Procedure
Results
ASEs From an on-screen Artifact
Comparison of an on-screen Artifact with a Robot
Discussion and Conclusions
References
Affective State Recognition in Married Couples' Interactions Using PCA-Based Vocal Entrainment Measures with Multiple Instance Learning
Introduction
Research Methodology
Database
Multiple Instance Learning
PCA-Based Signal-Derived Vocal Entrainment Measures
MIL Classifiers Setup and Selection
Experiment Setups and Results
Experiment I Setup
Experiment I Result
Experiment II Setup
Experiment II Result
Conclusion and Future Work
References
A Comparison of Unsupervised Methods to Associate Colors with Words
Introduction
Related Work
Evaluation Framework
Data
Evaluation Measures
Automatic Methods for Associating Colors with Words
Image Analysis
Language Models on Web Data
Similarity between Colors and Words
Evaluation and Results
Conclusions and Future Work
References
Computer Based Video and Virtual Environments in the Study of the Role of Emotions in Moral Behavior
Introduction
Emotions and Rationality in Moral Judgments
Moral Judgment and Blushing: A Pilot Study
Social Blushing and Morality
Experimental Design
Implementation
Results
From Moral Judgment to Moral Actions
Moral Actions in VE
Would You Push the Switch to Save Five in VE?
Discussion
References
EmoWisconsin: An Emotional Children Speech Database in Mexican Spanish
Introduction
Database Design
Wisconsin Card Sorting Test
Emotional Wisconsin Card Sorting Test
Recording
Segmentation
Annotation
Inter-evaluator Agreement
Classification and Regression Experiments
Conclusions
References
``Should I Teach or Should I Learn?" - Group Learning Based on the Influence of Mood
Introduction
Assimilation versus Accommodation
Problem and Approach
A Testing Scenario: ``Doors and Keys''
Conclusions
References
How Low Level Observations Can Help to Reveal the User's State in HCI
Introduction
The PIT Corpus of German Multi-party Dialogs
Evaluation and Discussion
Conclusions and Future Directions
References
Investigating Acoustic Cues in Automatic Detection of Learners' Emotion from Auto Tutor
Introduction
Data
Features
Methodology
Result
Discussion and Conclusion
References
The Affective Triad: Stimuli, Questionnaires, and Measurements
Introduction
The Working Hypothesis
The Emotion and the Affective Triad
A Formal Definition
Applying the Model: A Case Study on Videogame
Methods
Results
References
Relevance Vector Machine Based Speech Emotion Recognition
Introduction
Classifiers
Support Vector Machine
Relevance Vector Machine
Multi-class Classification
Feature Extraction
Experimental Results and Analysis
Speech Database
Feature Selection
Results and Analysis
Conclusion
References
A Regression Approach to Affective Rating of Chinese Words from ANEW
Introduction
Method
A SUMO-Based Clustering Algorithm
Affective Norms Linear Regression
Experiment
Experiment Design
Experiment Results
Conclusion
References
Active Class Selection for Arousal Classification
Introduction
Active Class Selection (ACS)
Experiment
Data Acquisition
Comparative Study
Conclusions and Future Research
References
Inductive Transfer Learning for Handling Individual Differences in Affective Computing
Introduction
Transfer Learning
Experiment
Method
Results
Conclusions and Future Research Directions
References
The Machine Knows What You Are Hiding: An Automatic Micro-expression Recognition System
Introduction
An Algorithm for Facial Expression Recognition
Dataset, Face Detection, and Preprocessing
Feature Extraction
Improved Gentleboost
GentleSVM
An Automatic Micro-expression Recognition System
A New Training Set, the Test Set, and the Extra Preprocessing Procedure
Experimental Results and Discussions
Conclusions
References
EMOGIB: Emotional Gibberish Speech Database for Affective Human-Robot Interaction
Introduction
EMOGIB-Emotional Gibberish Speech Database
Speaker Selection
Text Corpus
Actual Recordings
Evaluations
Experiments
Results
Conclusions and Further Work
References
Context-Sensitive Affect Sensing and Metaphor Identification in Virtual Drama
Introduction
Related Work
Metaphorical Affect Detection
Exploitation in Contextual Affect Sensing
Evaluations
References
Doctoral Consortium
An Android Head for Social-Emotional Intervention for Children with Autism Spectrum Conditions
Introduction
Background
Autism Spectrum Conditions
Human-Robot Interaction
Affective Computing
Methodology
Playback and Imitation of the Mind Reading Videos
Social Interaction during a Card Game
Evaluation of Intervention
Conclusion
References
Automatic Emotion Recognition from Speech A PhD Research Proposal
Problem
Confusion Sources
Objectives
Emotions and Related Works
Theoretical Models of Emotion
Types of Emotional Speech
Related Work
Methodology
Data Description
Modeling
The Main Contribution
References
Multimodal Affect Recognition in Intelligent Tutoring Systems
Introduction
Background
Affect-Sensitive Intelligent Tutors
Intervention Strategies
Evaluating Intelligent Tutoring Systems
Related Work
Work to Date
Data
Facial Expression Analysis
Audio Analysis
Multimodal Fusion
Future Work
Ethnography Study and Data Collection
Multimodal Recognition for Natural Data
Intervention Strategies
Evaluation
References
Candidacy of Physiological Measurements for Implicit Control of Emotional Speech Synthesis
Introduction
Paralinguistic Information and Speech Synthesis
Open Questions for Affective Speech Synthesis
Production of Emotional Speech Synthesis
Relationship between ANS Measures and Speech Acoustics
Research Scope
Work to Date
Methodology
Preliminary Results of Doctoral Studies
Work in Progress
Listener Judgments
Planned Analyses
Planned Future Work
References
Toward a Computational Approach for Natural Language Description of Emotions
Background and Motivation
Thesis and Approach
Methodology and Experimental Results
Conclusion
References
Expressive Gesture Model for Humanoid Robot
Objectives
Methodology
State of the Art
System Overview
Gestural Lexicon
Behavior Realizer
Synchronization of Gestures with Speech
Animation Computation
Animation Production
Conclusion and Future Work
References
Emotion Generation Integration into Cognitive Architecture
Introduction
Problem Statement
Aims and Objectives
Research Method
Proposed Approach
Progress to Date
Contributions to Affective Computing
References
Emotion Recognition Using Hidden Markov Models from Facial Temperature Sequence
Introduction
Methodology
Data Preprocessing and Feature Extraction
Feature Selection Strategy
Emotion Recognition Using HMMs
Experiments and Results
Experimental Conditions
Results and Analysis
Conclusion and Future Work
References
Interpreting Hand-Over-Face Gestures
Introduction
Why Hands?
Hand-Over-Face Gestures in Natural Expressions
Coding of Hand Gestures
Hand Detection Using 3D Data
Conclusion and Future Work
Analysis of More Hand-Over-Face Gestures
Automatic Detection of Hand Cues
Automatic Coding of Hand Gestures
Multimodal Inference System
References
Toward a Computational Model of Affective Responses to Stories for Augmenting Narrative Generation
Introduction
Related Work
Research Objectives
Current Progress
Surprise Model
Suspense Model
Future Work
Knowledge Engineering
Evaluation of Models
Applying Affective Models to Story Generation
References
Recognizing Bodily Expression of Affect in User Tests
Introduction
Background
Assessing User Experience
Bodily Expression of Affect
Research Aims and Approach
Contribution and Relevance
Conclusions
References
An Integrative Computational Model of Emotions
Introduction
Related Work
ProposedModel
Fundamentals for an Integrative Framework
Design of the CME
Conclusions and Future Work
References
Affective Support in Narrative-Centered Learning Environments
Introduction
Research Questions
Methodology
Initial Results
Future Directions
Conclusions
References
Automatic Understanding of Affective and Social Signals by Multimodal Mimicry Recognition
Introduction
Related Work/Background
Aims and Objectives
Methodology
Automatic Recognition of Nonverbal Mimicry
Use of Mimicry Information to Understand Affective and Social Behavior
Mimicry in Embodied Conversational Agents
Contribution
References
Using Facial Emotional Signals for Communication between Emotionally Expressive Avatars in Virtual Worlds
Introduction
Aim and Objective
Facial Expression Analysis
Eye Movements
Research Objectives
Methodology
System Design
Experiment Design
Data Analysis
Conclusion
References
Interactive Event (Demo Papers)
Building Rapport with a 3D Conversational Agent
Introduction
Anita, the Reactive Conversational Agent
References
Siento: An Experimental Platform for Behavior and Psychophysiology in HCI
Introduction
Siento
Web Presentation
References
A Gesture-Based Interface and Active Cinema
Introduction
Our Approach
Appendix
OperationARIES!: Aliens, Spies and Research Methods
References
EMO20Q Questioner Agent
Proposed System
Technical Content
Evaluation
Resources
Reference
A Game Prototype with Emotional Contagion
Description of the System
Technical Content
Links
References
A Smartphone Interface for a Wireless EEG Headset with Real-Time 3D Reconstruction
Introduction
System Architecture
Evaluation
References
Prediction of Affective States through Non-invasive Thermal Camera and EMG Recordings
Introduction
Setup and Results
References
The First Audio/Visual Emotion Challenge and Workshop
The First Audio/Visual Emotion Challenge and Workshop - An Introduction
Dimensionality Reduction and Classification Analysis on the Audio Section of the SEMAINE Database
Introduction
Literature Review
Methodology
Analysis and Results
Conclusions
References
Speech Emotion Recognition System Based on L1 Regularized Linear Regression and Decision Fusion
Introduction
Feature Selection
Hybrid Classification Scheme
Base Classifiers
Decision Fusion
Evaluation Results
Conclusions
References
A Psychologically-Inspired Match-Score Fusion Model for Video-Based Facial Expression Recognition
Introduction
Vision and Attention Theory Inspiration
Technical Approach
Face Detection and Registration
Feature Extraction
Psychologically-Inspired Dynamic Temporal Volumes
Results
Conclusion
References
Continuous Emotion Recognition Using Gabor Energy Filters
Introduction
Overview of the Database
Overview of the Baseline Method
Challenge Baselines
Technical Approach
Gabor Filtering
Gabor Energy Filter
Data Processing
The Experimental Protocols
Conclusions
References
Multiple Classifier Systems for the Classification of Audio-Visual Emotional States
Introduction
Features
Audio Features
Visual Features
Classifier Architectures
Audio Sub-Challenge
Video Sub-Challenge
Audio-Visual Sub-Challenge
Discussion
References
Investigating the Use of Formant Based Features for Detection of Affective Dimensions in Speech
Introduction
Feature Extraction
Formant Based Features
Feature Selection
Maximal Relevance
Minimal-Redundancy-Maximal-Relevance
Maximum Average Recall
Sequential Forward Selection
Evaluation
Evaluation on Formant Based Features
Detection on Development Set
Conclusion
References
Naturalistic Affective Expression Classification by a Multi-stage Approach Based on Hidden Markov Models
Introduction
Related Work
A Multi-stage Affective Dimension Level Classification System
System Overview
First Stage Classification
Hidden Markov Model
HMM Design
HMMs in the Second Stage Classification
HMM in the Third Stage Classification
HMM Implementation
Experimental Results
Dataset and Features
Results
Discussion and Conclusion
References
The CASIA Audio Emotion Recognition Method for Audio/Visual Emotion Challenge 2011
Introduction
SVM and AdaBoost
Feature Set
Experiment
Experiment on the Baseline Feature Set
Experiment on the Dimension Reduced Feature Set
Summarization of the Experiment
Conclusion
References
Modeling Latent Discriminative Dynamic of Multi-dimensional Affective Signals
Introduction
Previous Work
Approach
Experimental Setup
Dataset
Visual Features
Audio Features
Audio-Visual Features
Baseline Models
Methodology
Results and Discussion
Visual Data
Audio Data
Audio-Visual Data
Conclusion
References
Audio-Based Emotion Recognition from Natural Conversations Based on Co-Occurrence Matrix and Frequency Domain Energy Distribution Features
Introduction
Feature Extraction
Co-Occurrence Matrix Features
Frequency Domain Energy Distribution Features
Classification
SVM
K-NN
Experimental Results and Discussion
Conclusion
References
AVEC 2011-The First International Audio/Visual Emotion Challenge
Introduction
SEMAINE Database
Challenge Labels
Baseline Features
Audio Features
Video Features
Challenge Baselines
Conclusion
References
Investigating Glottal Parameters and Teager Energy Operators in Emotion Recognition
Introduction
Data and Feature
Methodology
Result
Conclusion
References
Affective Brain-Computer Interfaces Workshop (aBCI 2011)
Affective Brain-Computer Interfaces (aBCI 2011)
Online Recognition of Facial Actions for Natural EEG-Based BCI Applications
Introduction
Related Work
Data Acquisition
Facial Actions
Experiment Design
Spectral Data Analysis
Recognition System
Evaluation and Results
Conclusion
References
What You Expect Is What You Get? Potential Use of Contingent Negative Variation for Passive BCI Systems in Gaze-Based HCI
Introduction
Methods
Participants
Experimental Set-Up
Stimuli
Task
Structure and Design
Data Analysis
Results
Discussion
References
EEG Correlates of Different Emotional States Elicited during Watching Music Videos
Introduction
Materials and Methods
Dataset
PSD Estimation
Complexity
Correlation Analysis
Results and Discussion
Subjective Analysis
Subject Independent Analysis
Conclusions
References
Classifying High-Noise EEG in Complex Environments for Brain-Computer Interaction Technologies
Introduction
Related Work
Experimental Methodology
Subjects
Design and Procedure
Auditory Stimuli
Experimental Setup
Feature Extraction and Classification
BCILab Procedure
LibSVM Procedure
Results
Discussion
Conclusion
References
Neural Correlates of Mindfulness Practice for Naive Meditators
Introduction
Methods
Subjects
Experimental Paradigm
EEG Data Acquisition
EEG Data Preprocessing
Eye Blink Removal
Frequency Decomposition
Mixed ANOVA
Results
Behavioral Results
EEG Results
Discussion
Conclusion
References
First Demonstration of a Musical Emotion BCI
Introduction
Methods
Results
Discussion
Conclusion
References
Emotion in Games Workshop
Emotion in Games
Improvisation, Emotion, Video Game
Introduction
Collaboration History
Common Sense Psychology
Manipulation and Constraint
Tracking Emotions
Experiments with Natural Language and Performance
Adding Improv to the Toolset
Conclusion
References
Outline of an Empirical Study on the Effects of Emotions on Strategic Behavior in Virtual Emergencies
Introduction
Related Work
Outline of the Research Project
Research Goal
Hardware Setup
Software Setup
Design of the Empirical Study
Overall Design
The VR Experiment
Preliminary Results and Conclusions
References
Assessing Performance Competence in Training Games
Introduction
The Validity of Game-Based Simulator Training
Learning Goals and Performance Evaluation in Game-Based Simulator Training
The Proposed Formula for the Assessment of Performance Competence
The Empirical Validation of the Proposed Method
Data Collection
Data Analysis
Results
Discussion and Conclusion
References
Affective Preference from Physiology in Videogames: A Lesson Learned from the TORCS Experiment
Introduction
The TORCS Experiment
Videogame Choice
Task Choice
Self Report Preference Questionnaire
Participants to the Experiment
Motivating Participants
Classification of Participants
Data Acquisition
Conclusion
References
Analysing the Relevance of Experience Partitions to the Prediction of Players' Self-reports of Affect
Introduction
Related Work
Data Recording
Method
Genetic Feature Selection
Neuroevolutionary Preference Learning
Experiments
Conclusions
References
A Game-Based Corpus for Analysing the Interplay between Game Context and Player Experience
Introduction
Testbed Platform Game
Dataset Design
Recorded Variables
Controllable Features
Gameplay Events
Player Experience
Demographics
Experiments
Correlating Player Movements with Self Reported Data
Analysis of Self Reported Data
Conclusions and Future Work
References
Effect of Emotion and Articulation of Speech on the Uncanny Valley in Virtual Characters
Introduction
Articulation and the Expression of Emotion
Articulation of Speech in Video Games
Method
Participants
Procedure
Results
Discussion
References
Machine Learning for Affective Computing Workshop
Machine Learning for Affective Computing
Large Scale Personality Classification of Bloggers
Introduction
Background
Method
Data Preparation
Feature Selection
Classification Results and Discussion
Bigrams Characteristic of Personality
Conclusion
References
Smartphones Get Emotional: Mind Reading Images and Reconstructing the Neural Sources
Motivation
Materials and Methods
Mobile EEG System
Experimental Setup
Source Reconstruction
ICA Data Analysis
Results
Discussion
References
Generalizing Models of Student Affect in Game-Based Learning Environments
Introduction
Background
Method
Results
Predictive Modeling
Bayesian Networks
Validation
Comparing Populations
Generalization to New Populations
Conclusion
References
A Spatio-Temporal Probabilistic Framework for Dividing and Predicting Facial Action Units
Introduction
Proposed Approach
How Is It Different?
Analysis of AU Relations
Identify Strong AU Relations
Strong Relations vs. Weak Relations
FSAUs
Temporal Relationships among AUs
Experimental Results
Utility of Scoring Algorithm in Logical Division of AUs
IWAUs Predictions
Performance Analysis with Perturbation
Conclusions
References

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Affective Computing and Intelligent Interaction

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