The Oxford Handbook of Affective Computing

by Rafael A. Calvo (Editor), Sidney D'Mello (Editor), Jonathan Gratch (Editor), Arvid Kappas (Editor)

Overview

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.

Product Details

ISBN-13:	9780190251505
Publisher:	Oxford University Press
Publication date:	12/02/2014
Series:	Oxford Library of Psychology
Sold by:	Barnes & Noble
Format:	eBook
File size:	9 MB

About the Author

Rafael A. Calvo, Professor of Software Engineering, University of Sydney Sidney D'Mello, Assistant Professor of Computer Science and Psychology, University of Notre Dame Jonathan Gratch, Research Associate Professor of Computer Science, University of Southern California Arvid Kappas, Professor of Psychology, Jacobs University, Bremen, Germany.

Table of Contents

1. Introduction to Affective Computing Rafael A. Calvo, Sidney K. D'Mello, Jonathan Gratch, and Arvid Kappas Section One: Theories and Models 2. The Promise of Affective Computing Rosalind W. Picard 3. A Short History of Psychological Perspectives of Emotion Rainer Reisenzein 4. Neuroscientific Perspectives of Emotion Andrew H. Kemp, Jonathan Krygier, and Eddie Harmon-Jones 5. Appraisal Models Jonathan Gratch and Stacy Marsella 6. Emotions in Interpersonal Life: Computer Mediation, Modeling, and Simulation Brian Parkinson 7. Social Signal Processing Maja Pantic and Alessandro Vinciarelli 8. Why and How to Build Emotion-Based Agent Architectures Christine Lisetti and Eva Hudlicka 9. Affect and Machines in the Media Despina Kakoudaki Section Two: Affect Detection 10. Automated Face Analysis for Affective Computing Jeff Cohn and Fernando De la Torre 11. Automatic Recognition of Affective Body Expressions Nadia Bianchi-Berthouze and Andrea Kleinsmith 12. Speech in Affective Computing Chi-Chun Lee, Jangwon Kim, Angeliki Metallinou, Carlos Busso, Sungbok Lee, and Shrikanth S. Narayanan 13. Affect Detection in Texts Carlo Strapparava and Rada Mihalcea 14. Physiological Sensing of Affect Jennifer Healey 15. Affective Brain-Computer Interfaces: Neuroscientific Approaches to Affect Detection Christian Mühl, Dirk Heylen, and Anton Nijholt 16. Interaction-Based Affect Detection in Educational Software Ryan Baker and Jaclyn Ocumpaugh 17. Multimodal Affect Detection for Naturalistic Human-Computer and Human-Robot Interactions Ginevra Castellano, Hatice Gunes, Christopher Peters, and Björn Schuller Section Three: Affect Generation 18. Facial Expressions of Emotions for Virtual Characters Magalie Ochs, Radoslaw Niewiadomski, and Catherine Pelachaud 19. Emotion Postures and Gestures Stacy Marsella 20. Emotional Speech Synthesis Felix Burkhardt and Nick Campbell 21. Emotion Modeling for Social Robots Ana Paiva, Iolanda Leite, and Tiago Ribeiro 22. Preparing Emotional Agents for Intercultural Communication Elisabeth André Section Four: Methodologies and Databases 23. Multimodal Databases: Collection, Challenges, and Chances Björn Schuller 24. Ethical Issues in Affective Computing (Research Studies and Outcomes) Roddy Cowie 25. Research and Development Tools in Affective Computing M. Sazzad Hussain, Sidney K. D'Mello, and Rafael A. Calvo 26. Emotion Data Collection and Its Implications for Affective Computing Shazia Afzal and Peter Robinson 27. Emotion Elicitation Jacqueline M. Kory and Sidney K. D'Mello 28. Crowdsourcing Techniques for Affective Computing Robert R. Morris and Daniel McDuff 29. Emotion Mark-Up Language Marc Schröder, Paolo Baggia, Felix Burkhardt, Catherine Pelachaud, Christian Peter, and Enrico Zovato 30. Machine Learning Techniques in Affective Computing Ashish Kapoor Section Five: Applications of Affective Computing 31. Feeling, Thinking, and Computing with Affect-Aware Learning Technologies Sidney K. D'Mello and Art C. Graesser 32. Enhancing Informal Learning Experiences with Affect-Aware Technology Chad Lane 33. Affect-Aware Reflective Writing Studios Rafael A. Calvo 34. Emotions and Games Georgios N. Yannakakis and Ana Paiva 35. Autonomous Closed-Loop Biofeedback: An Introduction and a Melodious Application Egon L. van den Broek, Joris H. Janssen, and Joyce Westerink 36. Affect in Human-Robot Interaction Ronald Arkin and Lilia Moshkina 37. Virtual Reality and Collaboration Jakki Bailey and Jeremy Bailenson 38. Unobtrusive Deception Detection Aaron Elkins, Stefanos Zafeiriou, Judee Burgoon, and Maja Pantic 39. Affective Computing, Emotional Development, and Autism Daniel Messinger, Leticia Lobo Duvivier, Zachary Warren, Mohammad Mahoor, Jason Baker, Anne Warlaumont, and Paul Ruvolo 40. Relational Agents in Health Applications: Leveraging Affective Computing to Promote Healing and Wellness Timothy Bickmore 41. Cyberpsychology and Affective Computing Giuseppe Riva, Rafael A. Calvo, and Christine Lisetti Glossary Index

Editorial Reviews

Reviewer: Gary Kaniuk, PsyD (Cermak Health Services)
Description: This book on how affective factors impact the interaction between people and technology uses an interdisciplinary approach and considers cultural implications. It is part of the Oxford Library of Psychology series.
Purpose: This book is designed to be "the go-to reference for AC (affective computing) research, teaching, and practice." The authors felt that such a reference was needed to discuss "the basic theoretical underpinnings of AC, its bread-and-butter research topics, methodologies to conduct AC research, and forward-looking applications of AC systems."
Audience: The authors hope "the handbook will serve as an invaluable resource for AC students, researchers, and practitioners worldwide." Rafael A. Calvo, associate professor at the University of Sydney, has published extensively in affective computing and associated areas. Sidney D'Mello, assistant professor at the University of Notre Dame, has published more than 150 journal papers, book chapters, and conference proceedings, along with coediting five books. Jonathan Gratch, director of virtual human research at the University of Southern California, has authored over 200 publications. Arvid Kappas, professor of psychology at Jacobs University Bremen in Germany, has conducted research on affective processes for over 25 years. The contributors represent an international authorship from the U.K., Germany, the U.S., Ireland, Australia, the Netherlands, France, Sweden, Portugal, and Italy.
Features: Affective computing incorporates psychology, neuroscience, linguistics, and computer science. The book begins with an introduction to affective computing, which traces the history of the topic back 18 years. Section one explores theories and models, while section two focuses on affect detection, with a discussion of automated face analysis as an important area of research. The next section describes affect generation, with a discussion of methodologies for looking at the effects of emotional expression within human-machine interaction. Section four considers different databases and methodologies and considers ethical issues in this field. The book ends with various applications such as affect-aware learning technologies (AALTs), collaborative virtual environments (CVEs), and cybertherapy. Numerous figures and tables help clarify the concepts and a glossary defines terms. There are hundreds of references to follow up.
Assessment: This excellent book covers the topic of affective computing well. Readers with a basic foundation in computer science will get the most benefit.

Doody's Review Service

"This excellent book covers the topic of affective computing well. Readers with a basic foundation in computer science will get the most benefit. 5 stars!" —Gary B Kaniuk, Doody's Health Science Book Review

From the Publisher