The Oxford Handbook of Affective Computing (Oxford Library of Psychology)

Affective Computing is a growing multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and many other disciplines. It explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems that intricately involve affect at their core.__The Oxford Handbook of Affective Computing__will help both new and experienced researchers identify trends, concepts, methodologies, and applications in this burgeouning field. The volume features 41 chapters divided into five main sections: history and theory, detection, generation, methodologies, and applications. Section One begins with a look at the makings of AC and a historical review of the science of emotion. Chapters discuss the theoretical underpinnings of AC from an interdisciplinary perspective involving the affective, cognitive, social, media, and brain sciences. Section Two focuses on affect detection or affect recognition, which is one of the most commonly investigated areas in AC. Section Three examines aspects of affect generation including the synthesis of emotion and its expression via facial features, speech, postures and gestures. Cultural issues in affect generation are also discussed. Section Four features chapters on methodological issues in AC research, including data collection techniques, multimodal affect databases, emotion representation formats, crowdsourcing techniques, machine learning approaches, affect elicitation techniques, useful AC tools, and ethical issues in AC. Finally, Section Five highlights existing and future applications of AC in domains such as formal and informal learning, games, robotics, virtual reality, autism research, healthcare, cyberpsychology, music, deception, reflective writing, and cyberpsychology.With chapters authored by world leaders in each area,__The Oxford Handbook of Affective Computing__is suitable for use as a textbook in undergraduate or graduate courses in AC, and will serve as a valuable resource for students, researchers, and practitioners across the globe. Title Page 4 Copyright Page 5 Contents 6 Oxford Library of Psychology 7 About the Editors 9 Contributors 11 Table of Contents 19 1. Introduction to Affective Computing 22 Section One • Theories and Models 35 2. The Promise of Affective Computing 36 3. A Short History of Psychological Perspectives of Emotion 51 4. Neuroscientific Perspectives of Emotion 76 5. Appraisal Models 99 6. Emotions in Interpersonal Life: Computer Mediation, Modeling, and Simulation 119 7. Social Signal Processing 143 8. Why and How to Build Emotion-Based Agent Architectures 158 9. Affect and Machines in the Media 182 Section Two • Affect Detection 209 10. Automated Face Analysis for Affective Computing 210 11. Automatic Recognition of Affective Body Expressions 242 12. Speech in Affective Computing 269 13. Affect Detection in Texts 289 14. Physiological Sensing of Emotion 321 15. Affective Brain-Computer Interfaces: Neuroscientific Approaches to Affect Detection 339 16. Interaction-Based Affect Detection in Educational Software 363 17. Multimodal Affect Recognition for Naturalistic Human-Computer and Human-Robot Interactions 383 Section Three • Affect Generation 400 18. Facial Expressions of Emotions for Virtual Characters 401 19. Expressing Emotion Through Posture and Gesture 418 20. Emotional Speech Synthesis 437 21. Emotion Modeling for Social Robots 452 22. Preparing Emotional Agents for Intercultural Communication 471 Section Four • Methodologies and Databases 488 23. Multimodal Databases: Collection, Challenges, and Chances 489 24. Ethical Issues in Affective Computing 505 25. Research and Development Tools in Affective Computing 528 26. Emotion Data Collection and Its Implications for Affective Computing 542 27. Affect Elicitation for Affective Computing 560 28. Crowdsourcing Techniques for Affective Computing 579 29. Emotion Markup Language 596 30. Machine Learning for Affective Computing: Challenges and Opportunities 613 Section Five • Applications of Affective Computing 627 31. Feeling, Thinking, and Computing with Affect-Aware Learning Technologies 628 32. Enhancing Informal Learning Experiences with Affect-Aware Technologies 650 33. Affect-Aware Reflective Writing Studios 668 34. Emotions in Games 687 35. Autonomous Closed-Loop Biofeedback: An Introduction and a Melodious Application 706 36. Affect in Human-Robot Interaction 723 37. Virtual Reality and Collaboration 740 38. Unobtrusive Deception Detection 753 39. Affective Computing, Emotional Development, and Autism 772 40. Relational Agents in Health Applications: Leveraging Affective Computing to Promote Healing and Wellness 802 41. Cyberpsychology and Affective Computing 816 Glossary 834 Index 843 Affective Computing is a growing multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and many other disciplines. It explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems that intricately involve affect at their core. The Oxford Handbook of Affective Computing will help both new and experienced researchers identify trends, concepts, methodologies, and applications in this burgeouning field. The volume features 41 chapters divided into five main sections: history and theory, detection, generation, methodologies, and applications. Section One begins with a look at the makings of AC and a historical review of the science of emotion. Chapters discuss the theoretical underpinnings of AC from an interdisciplinary perspective involving the affective, cognitive, social, media, and brain sciences. Section Two focuses on affect detection or affect recognition, which is one of the most commonly investigated areas in AC. Section Three examines aspects of affect generation including the synthesis of emotion and its expression via facial features, speech, postures and gestures. Cultural issues in affect generation are also discussed. Section Four features chapters on methodological issues in AC research, including data collection techniques, multimodal affect databases, emotion representation formats, crowdsourcing techniques, machine learning approaches, affect elicitation techniques, useful AC tools, and ethical issues in AC. Finally, Section Five highlights existing and future applications of AC in domains such as formal and informal learning, games, robotics, virtual reality, autism research, healthcare, cyberpsychology, music, deception, reflective writing, and cyberpsychology. With chapters authored by world leaders in each area, The Oxford Handbook of Affective Computing is suitable for use as a textbook in undergraduate or graduate courses in AC, and will serve as a valuable resource for students, researchers, and practitioners across the globe. "The Oxford Handbook of Affective Computing is a definitive reference in the burgeoning field of affective computing (AC), a multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and other disciplines. AC research explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems involving affect at their core. The volume features 41 chapters and is divided into five sections: history and theory, detection, generation, methodologies, and applications. Section 1 begins with the making of AC and a historical review of the science of emotion. The following chapters discuss the theoretical underpinnings of AC from an interdisciplinary viewpoint. Section 2 examines affect detection or recognition, a commonly investigated area. Section 3 focuses on aspects of affect generation, including the synthesis of emotion and its expression via facial features, speech, postures, and gestures. Cultural issues are also discussed. Section 4 focuses on methodological issues in AC research, including data collection techniques, multimodal affect databases, formats for the representation of emotion, crowdsourcing techniques, machine learning approaches, affect elicitation techniques, useful AC tools, and ethical issues. Finally, Section 5 highlights applications of AC in such domains as formal and informal learning, games, robotics, virtual reality, autism research, health care, cyberpsychology, music, deception, reflective writing, and cyberpsychology. This compendium will prove suitable for use as a textbook and serve as a valuable resource for everyone with an interest in AC."-- Provided by publisher