Emotion-Oriented Systems

The Affective Computing domain, term coined by Rosalind Picard in 1997, gathers several scientific areas such as computer science, cognitive science, psychology, design and art. The humane-machine interaction systems are no longer solely fast and efficient. They aim to offer to users affective experiences: user’s affective state is detected and considered within the interaction; the system displays affective state; it can reason about their implication to achieve a task or resolve a problem. In this book, we have chosen to cover various domains of research in emotion-oriented systems. Our aim is also to highlight the importance to base the computational model on theoretical foundations and on natural data.Content: Chapter 1 Contemporary Theories and Concepts in the Psychology of Emotions (pages 1–31): Geraldine Coppin and David SanderChapter 2 Emotion and the Brain (pages 33–76): Andy Christen and Didier GrandjeanChapter 3 Emotional Corpora: From Acquisition to Modeling (pages 77–105): Laurence Devillers and Jean?Claude MartinChapter 4 Visual Emotion Recognition: Status and Key Issues (pages 107–137): Alice CaplierChapter 5 Recognition of Acoustic Emotion (pages 139–167): Chloe Clavel and Gael RichardChapter 6 Modeling Facial Expressions of Emotions (pages 169–190): Sylwia Julia Hyniewska, Radoslaw Niewiadomski and Catherine PelachaudChapter 7 Emotion Perception and Recognition (pages 191–213): Ioana VasilescuChapter 8 The Role of Emotions in Human?Machine Interaction (pages 215–246): Valerie Maffiolo and Magalie OchsChapter 9 Music and Emotions (pages 247–270): Donald Glowinski and Antonio CamurriChapter 10 Literary Feelings in Interactive Fiction (pages 271–297): Marc Cavazza and David PizziChapter 11 The Design of Emotions: How the Digital is Making Us More Emotional (pages 299–320): Annie Gentes The Affective Computing Domain, Term Coined By Rosalind Picard In 1997, Gathers Several Scientific Areas Such As Computer Science, Cognitive Science, Psychology, Design And Art. The Humane-machine Interaction Systems Are No Longer Solely Fast And Efficient. They Aim To Offer To Users Affective Experiences: User's Affective State Is Detected And Considered Within The Interaction; The System Displays Affective State; It Can Reason About Their Implication To Achieve A Task Or Resolve A Problem. In This Book, We Have Chosen To Cover Various Domains Of Research In Emotion-oriented Systems. Our Aim Is Also To Highlight The Importance To Base The Computational Model On Theoretical Foundations And On Natural Data-- Cover; Emotion-oriented Systems; Title Page; Copyright Page; Table Of Contents; Preface; Part 1: Foundations; Chapter 1. Contemporary Theories And Concepts In The Psychology Of Emotions; 1.1. Introduction; 1.2. Emergence Of A Scientific Approach To Emotions; 1.2.1. The Emotional Sequence: James-lange Versus Cannon-bard; 1.2.2. Schachter's Two-factor Theory; 1.3. Basic Emotions Theories; 1.3.1. Premises Of Basic Emotions Theories; 1.3.2. Characteristics Of Basic Emotions; 1.3.3. Criticisms Of Basic Emotions Theories; 1.4. Bi-dimensional Theories Of Emotion. 1.4.1. Premises Of Bi-dimensional Theories Of Emotion1.4.2. Criticisms Of Bi-dimensional Theories Of Emotion; 1.5. Appraisal Theories Of Emotions; 1.5.1. Premises Of Appraisal Theories Of Emotion; 1.5.2. Specific Models Of This Theoretical Trend; 1.5.3. Criticisms Of Appraisal Theories Of Emotion; 1.6. Conclusion; 1.7. Glossary; 1.8. Bibliography; Chapter 2. Emotion And The Brain; 2.1. Introduction; 2.1.1. Emotions And The Brain: The Emergence Of Affective Neuroscience As An Independent Discipline; 2.2. The Major Role Of Affective Neuroscience In Understanding Emotions. 2.2.1. Emotion And The Brain: From A Unitary Entity To Processing, From Structure To Neural Networks2.2.2. Levels Of Processing In Emotional Processes; 2.2.3. Emotion And Cognition; 2.3. The Historical And Conceptual Legacy Of Early Conceptions Of Emotions And The Brain; 2.3.1. Forerunners Of Affective Neuroscience; 2.3.1.1. Charles Darwin; 2.3.1.2. The James-lange Peripheralist Theory; 2.4. Initial Neuro-anatomical Emotion Theories; 2.4.1. Canon-bard's Centralist Theory; 2.4.2. Papez's Circuit; 2.4.3. Maclean's Limbic Theory. 2.5. Structures In The Brain And Their Functions In Emotional Processes2.5.1. Amygdala; 2.5.2. Amygdala And Emotional Learning Processes; 2.5.2.1. Amygdala And Classical Conditioning; 2.5.2.2. The Amygdala: A Structure With Two Processing Streams; 2.5.3. The Amygdala And Emotional Perception: Hypotheses Around The Specificity Of Processing Within The Amygdala; 2.5.3.1. The Amygdala As A Fear Module; 2.5.3.2. The Amygdala And Arousal; 2.5.3.3. The Amygdala As A Relevance Detector; 2.5.4. The Amygdala And Memory Processing; 2.6. The Prefrontal Cortex. 2.6.1. The Prefrontal Cortex And Bodily Signals2.6.2. The Prefrontal Cortex And The Top-down Regulation Of Behavior; 2.6.3. The Prefrontal Cortex And The Motivational Component Of Emotion; 2.7. The Anterior Cingulate Cortex; 2.8. The Role Of The Insula In Disgust; 2.9. Temporal Dynamic Of Brain Processes In Emotional Genesis; 2.10. Functional Connectivity; 2.10.1. Investigations Of The Connectivity Using Brain Imaging Techniques (mri); 2.10.2. Investigations Into Connectivity Using Electroencephalographic (eeg) Techniques; 2.10.3. Benefits Of Brain Connectivity Studies; 2.11. Conclusion. Edited By Catherine Pelachaud. Includes Bibliographical References And Index.