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Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics

Book Description

Emotions convey significant information through means of natural language analysis, embodiment, and emotional signing. Machines equipped with the ability to experience and interpret emotions perform better in complex environments and share in the emotionally-rich social context. The Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics presents a solid framework for taking human-robot interaction closer to its full potential. Presenting a close look at all the factors involved in modeling emotions and applying a thorough understanding of human emotional recognition to technology, this volume appeals to active researchers in the fields of artificial emotions, artificial intelligence, computing, robotics, philosophy, and psychology, as well as to students interested in the research of synthetic emotions.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Preface
    1. HUMANIZING MACHINES AS A FIRST STEP TOWARDS NEW COGNITION
  6. Section 1: Modeling Emotions
    1. Chapter 1: Computational Analytical Framework for Affective Modeling
      1. ABSTRACT
      2. 1.0 INTRODUCTION AND OBJECTIVES
      3. 2.0 BACKGROUND
      4. 3.0 COMPUTATIONAL ANALYTICAL FRAMEWORK FOR EMOTION MODELS
      5. 4.0 GUIDELINES FOR DESIGNING A COMPUTATIONAL AFFECTIVE MODEL
      6. 5.0 IMPLICATIONS AND FUTURE TRENDS
      7. 6.0 SUMMARY AND CONCLUSION
      8. REFERENCES
      9. APPENDIX
    2. Chapter 2: Could Emotions Be Modelled through Information Processing?
      1. ABSTRACT
      2. INTRODUCTION
      3. 2. INFORMATION PROCESSING
      4. 3. EMOTIONAL PROCESSING SYSTEM
      5. 4. RECOMMENDATIONS
      6. 5. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
      9. ENDNOTES
    3. Chapter 3: Representing Emotions as Dynamic Interactions of Symbols
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. THE NON-LINEARITY OF MENTAL REPRESENTATIONS
      5. THE ARCHETYPE MODEL
      6. THE TOP – DOWN APPROACH: ARCHETYPES AND FUNCTION
      7. ARCHETYPES AND NEEDS: A HIERARCHICAL SYSTEM
      8. THE BOTTOM – UP APPROACH: ARCHETYPES AND CONCEPTS
      9. FUTURE TRENDS
      10. CONCLUSION
      11. REFERENCES
      12. KEY TERMS AND DEFINITIONS
    4. Chapter 4: Emotions and Social Evolution
      1. ABSTRACT
      2. 1. WHY DO WE NEED ARTIFICIAL EMOTIONS?
      3. 2. EMOTIONS IN SOCIAL SIMULATIONS
      4. 3. THE GAME OF EMOTIONS
      5. 4. OUR PREVIOUS DIGITAL SIMULATIONS OF EMOTIONS
      6. 5. USING PRECEDENTS IN ORDER TO IMPROVE GOE
      7. 6. FUTURE TRENDS: GOE 2.0
      8. 7. CONCLUSION
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
    5. Chapter 5: On Realizing Emotional Memories
      1. ABSTRACT
      2. INTRODUCTION
      3. THE MULTI-AGENT EMOTION MODEL (NAIR ET AL., 2011)
      4. DECAY OF POSITIVE AND NEGATIVE EMOTIONS
      5. EMOTIONAL MEMORY MODEL
      6. EXPERIMENTATION AND RESULTS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    6. Chapter 6: The Exploitation of Models in Artificial Emotions
      1. ABSTRACT
      2. INTRODUCTION
      3. OVERVIEW ON BIOLOGICAL EMOTION RESEARCH
      4. RELATED WORK ON SCENARIOS FOR COMPUTATIONAL EMOTION
      5. RATIONALE FOR SYNTHETIC EMOTION
      6. THEORETICAL SYNTHESIS
      7. FOUNDATIONS TO MODEL EMOTION AS PATTERNED METACONTROL
      8. THE EXPLOITATION OF MODELS IN ARTIFICIAL EMOTIONS
      9. DISCUSSION
      10. REFERENCES
      11. KEY TERMS AND DEFINITIONS
  7. Section 2: The Body as a Space for Emotions
    1. Chapter 7: Socially Embodied Human-Robot Interaction
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. CHALLENGES FOR SOCIALLY EMBODIED INTERACTION BETWEEN HUMANS AND SOCIALLY INTERACTIVE ROBOTS
      5. FUTURE RESEARCH OPPORTUNITIES
      6. CONCLUSION
      7. ACKNOWLEDGMENT
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
      10. ENDNOTES
    2. Chapter 8: Qualia Learning?
      1. ABSTRACT
      2. 1. PROGRAMMING QUALIA?
      3. 2. DEFINING BODY SYNTAX AND SEMANTICS
      4. 3. INNERBODIMENT: THE BACKBONE OF UNIVERSAL HRI MODELIZATION
      5. 4. CONCEPTUAL REMARKS
      6. 5. POSSIBLE OUTCOMES AND APPLICATIONS
      7. ACKNOWLEDGMENT
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
      10. ENDNOTES
    3. Chapter 9: The Embodiment of Synthetic Emotion
      1. ABSTRACT
      2. INTRODUCTION: EMBODIMENT AND EMOTION
      3. MORPHOFUNCTIONALITY AND EMOTION: FIRST INSIGHTS
      4. MORPHOFUNCTIONALITY IN ROBOTICS FOR EMOTION SYNTHESIS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS AND DEFINITIONS
  8. Section 3: Emotional Recognition and Implementation
    1. Chapter 10: Investigation of Individual Emotions with GSR and FTT by Employing LabVIEW
      1. ABSTRACT
      2. INTRODUCTION
      3. STIMULUS FOR EMOTIONS
      4. EXPERIMENTS
      5. IMPLEMENTATION
      6. RESULTS
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
    2. Chapter 11: Mapping Artificial Emotions into a Robotic Face
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. FACIAL EXPRESSIONS GENERATION
      5. FUTURE TRENDS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
      9. APPENDIX: TABLES AND FIGURES
    3. Chapter 12: Intention and Body-Mood Engineering via Proactive Robot Moves in HRI
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. INTENTION ESTIMATION
      4. 3. HUMAN BODY-MOOD DETECTION THROUGH EXTERNAL-FOCUSED ATTENTION
      5. 4. PATH PLANNING THROUGH MOOD INDUCTION AND RESHAPING INTENTION
      6. 5. IMPLEMENTATION OF INTENTION RESHAPING
      7. 6. CONCLUSION AND FUTURE WORKS
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    4. Chapter 13: EEG-Analysis for the Detection of True Emotion or Pretension
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. PRINCIPLES AND METHODOLOGY
      4. 3. EXPERIMENTS AND RESULTS
      5. 4. CONCLUSION
      6. REFERENCES
      7. KEY TERMS AND DEFINITIONS
    5. Chapter 14: Computing with Words Model for Emotion Recognition Using Interval Type-2 Fuzzy Sets
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. PRELIMINARIES OF TYPE-2 FUZZY SETS
      4. 3. PRINCIPLES AND METHODOLOGY
      5. 4. THE PROPOSED FUZZY CLASSIFIER
      6. 5. EXPERIMENTS
      7. 6. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    6. Chapter 15: Developing Robot Emotions through Interaction with Caregivers
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. GENERAL OVERVIEW
      4. 3. OVERVIEW OF SOLUTION
      5. 4. MEI SYSTEM IMPLEMENTATION
      6. 5. EVALUATION OF THE SYSTEM
      7. 6. FUTURE TRENDS
      8. 7. CONCLUSION
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
      11. ENDNOTES
    7. Chapter 16: Automated Recognition of Emotion Appraisals
      1. ABSTRACT
      2. INTRODUCTION
      3. PERSPECTIVES ON EMOTION
      4. AN APPRAISAL FRAMEWORK FOR EMOTION RECOGNITION
      5. A COMMON METHODOLOGY FOR MODELING RECOGNITION AND PRODUCTION
      6. CONCLUSION
      7. ACKNOWLEDGEMENT
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
      10. ENDNOTES
    8. Chapter 17: User Experience of Socially Interactive Robots
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. ROLE AND RELEVANCE OF USER EXPERIENCE IN SOCIALLY INTERACTIVE ROBOTS
      5. CALL FOR ADDITIONAL RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
  9. Section 4: Last Trends in Synthetic Emotions
    1. Chapter 18: Emotional Context? Or Contextual Emotions?
      1. ABSTRACT
      2. INTRODUCTION
      3. STATE OF ART
      4. SYSTEM FRAMEWORK
      5. SEMANTIC MODEL
      6. EVENT ONTOLOGY
      7. PERSONALITYEMOTION ONTOLOGY
      8. COMBINING EVENT AND PERSONALITYEMOTION ONTOLOGIES
      9. IMPLEMENTATION
      10. USE CASE
      11. CONCLUSION
      12. AKNOWLEDGMENT
      13. REFERENCES
      14. KEY TERMS AND DEFINITIONS
    2. Chapter 19: Military Robotics and Emotion
      1. ABSTRACT
      2. INTRODUCTION
      3. A BRIEF BACKGROUND TO THE PROBLEM
      4. UNMANNED SYSTEMS: KILLING AT MAXIMUM RANGE
      5. THE EMOTIONAL WELLBEING OF THE WARFIGHTER
      6. FUTURE TRENDS AND TECHNOLOGICAL SOLUTIONS
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
    3. Chapter 20: The Role of Affective Computing for Improving Situation Awareness in Unmanned Aerial Vehicle Operations
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. AN EVALUATION OF AN INVENTION FOR REDUCING HUMAN CASUALTIES IN UAV-BASED MILITARY ENGAGEMENTS: INTRODUCING VOISJET
      5. IMPLICATIONS AND FUTURE RESEARCH DIRECTIONS
      6. DISCUSSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
  10. Compilation of References
  11. About the Contributors