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The Oxford Handbook of Affective Computing

Online ISBN:
9780199373475
Print ISBN:
9780199942237
Publisher:
Oxford University Press
Book

The Oxford Handbook of Affective Computing

Rafael Calvo (ed.),
Rafael Calvo
(ed.)
Learning & Affect Technologies Engineering, University of Sydney
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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 (ed.),
Sidney D'Mello
(ed.)
Computer Science and Psychology, University of Notre Dame
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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 (ed.),
Jonathan Gratch
(ed.)
Institute for Creative Technologies, University of Southern California
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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 (ed.)
Arvid Kappas
(ed.)
Psychology, Jacobs University
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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.

Published online:
5 December 2014
Published in print:
1 January 2015
Online ISBN:
9780199373475
Print ISBN:
9780199942237
Publisher:
Oxford University Press

Abstract

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.

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