- Oxford Library of Psychology
- The Oxford Handbook of Affective Computing
- Oxford Library of Psychology
- About the Editors
- Introduction to Affective Computing
- The Promise of Affective Computing
- A Short History of Psychological Perspectives on Emotion
- Neuroscientific Perspectives of Emotion
- Appraisal Models
- Emotions in Interpersonal Life: Computer Mediation, Modeling, and Simulation
- Social Signal Processing
- Why and How to Build Emotion-Based Agent Architectures
- Affect and Machines in the Media
- Automated Face Analysis for Affective Computing
- Automatic Recognition of Affective Body Expressions
- Speech in Affective Computing
- Affect Detection in Texts
- Physiological Sensing of Emotion
- Affective Brain-Computer Interfaces: Neuroscientific Approaches to Affect Detection
- Interaction-Based Affect Detection in Educational Software
- Multimodal Affect Recognition for Naturalistic Human-Computer and Human-Robot Interactions
- Facial Expressions of Emotions for Virtual Characters
- Expressing Emotion Through Posture and Gesture
- Emotional Speech Synthesis
- Emotion Modeling for Social Robots
- Preparing Emotional Agents for Intercultural Communication
- Multimodal Affect Databases: Collection, Challenges, and Chances
- Ethical Issues in Affective Computing
- Research and Development Tools in Affective Computing
- Emotion Data Collection and Its Implications for Affective Computing
- Affect Elicitation for Affective Computing
- Crowdsourcing Techniques for Affective Computing
- Emotion Markup Language
- Machine Learning for Affective Computing: Challenges and Opportunities
- Feeling, Thinking, and Computing with Affect-Aware Learning Technologies
- Enhancing Informal Learning Experiences with Affect-Aware Technologies
- Affect-Aware Reflective Writing Studios
- Emotion in Games
- Autonomous Closed-Loop Biofeedback: An Introduction and a Melodious Application
- Affect in Human-Robot Interaction
- Virtual Reality and Collaboration
- Unobtrusive Deception Detection
- Affective Computing, Emotional Development, and Autism
- Relational Agents in Health Applications: Leveraging Affective Computing to Promote Healing and Wellness
- Cyberpsychology and Affective Computing
Abstract and Keywords
The Oxford Handbook of Affective Computing aims to be the definite reference for research in the burgeoning field of affective computing—a field that turns 18 at the time of writing. This introductory chapter is intended to convey the motivations of the editors and content of the chapters in order to orient the readers to the handbook. It begins with a very high overview of the field of affective computing along with a bit of reminiscence about its formation, short history, and major accomplishments. The five main sections of the handbook—history and theory, detection, generation, methodologies, and applications—are then discussed, along with a bird’s eye view of the 41 chapters covered in the book. This Introduction is devoted to short descriptions of the chapters featured in the handbook. A brief description of the Glossary concludes the Introduction.
Rafael A. Calvo, PhD (2000) is Associate Professor at the University of Sydney’s and Director of the Software Engineering Group that focuses on the design of systems that support wellbeing in areas of mental health, medicine and education. He has a PhD in Artificial Intelligence applied to automatic document classification and has also worked at Carnegie Mellon University, Universidad Nacional de Rosario, and as a consultant for projects worldwide. Rafael is author of over 150 publications in the areas of affective computing, learning systems and web engineering, recipient of five teaching awards, and a Senior Member of IEEE. Rafael is Associate Editor of IEEE Transactions on Affective Computing and of IEEE Transactions on Learning Technologies.
Sidney D’Mello is an Assistant Professor in the departments of Computer Science and Psychology at the University of Notre Dame. His primary research interests are in the affective, cognitive, learning, and computing sciences. More specific interests include affective computing, artificial intelligence in education, human-computer interaction, natural language understanding, and computational models of human cognition. He has co-edited six books and has published over 150 journal papers, book chapters, and conference proceedings in these areas. D’Mello’s work has received seven outstanding paper awards at international conferences, has been featured in several media outlets including the Wall Street Journal, and has been supported by the National Science Foundation, Institute for Education Sciences, Gates, Raikes, and Templeton Foundations. D’Mello is an associate editor for IEEE Transactions on Affective Computing and IEEE Transactions on Learning Technologies, a senior reviewer for the Journal of Educational Psychology, and serves on the executive board of the International Artificial Intelligence in Education Society. D’Mello received his PhD. in Computer Science from the University of Memphis in 2009. He also holds a M.S. in Mathematical Sciences and a B.S. in Electrical Engineering.
Jonathan Gratch (http://www.ict.usc.edu/~gratch) is the Director for Virtual Human Research at the University of Southern California’s (USC) Institute for Creative Technologies, a Research Full Professor of Computer Science and Psychology at USC and co-director of USC’s Computational Emotion Group. He completed his Ph.D. in Computer Science at the University of Illinois in Urban-Champaign in 1995. Dr. Gratch’s research focuses on computational models of human cognitive and social processes, especially emotion, and explores these models’ role in shaping human-computer interactions in virtual environments. He studies the relationship between cognition and emotion, the cognitive processes underlying emotional responses, and the influence of emotion on decision making and physical behavior. He is the founding and current Editor-in-Chief of IEEE’s Transactions on Affective Computing, Associate Editor of Emotion Review and the Journal of Autonomous Agents and Multiagent Systems, former President and current Executive Committee member of the Association for the Advancement of Affective Computing (formerly the HUMAINE Association), a member of IEEE, the Association for the Advancement of Artificial Intelligence (AAAI) and the International Society for Research on Emotion (ISRE). Dr. Gratch is the author of over 200 technical articles.
Arvid Kappas is Professor of Psychology at Jacobs University Bremen and has conducted experimental research on affective processes since over 25 years. He obtained his PhD in Social Psychology at Dartmouth College in 1989 and has since held university positions in Switzerland, Canada, the UK, Austria, Italy, and Germany. He is currently the president of the International Society for Research on Emotion. Professor Kappas is particularly interested in emotions in interaction and how they influence expressive behavior, physiology, and subjective experience and how in turn emotions are regulated at intra- and interpersonal levels, including different levels of social organization and cultural context, within their biological constraints. His research is typically highly interdisciplinary as exemplified by recent projects CYBEREMOTIONS, eCUTE, and EMOTE.
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