The Oxford Handbook of Affective Computing

Hardcover | December 16, 2014

EditorRafael A. Calvo, Sidney DMello, Jonathan Gratch

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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 generationtechniques 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 Twofocuses 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 affectgeneration 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 ACtools, 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.

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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 generationtechniques can inform our understanding of ...

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

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Format:HardcoverDimensions:624 pages, 10 × 7 × 0.98 inPublished:December 16, 2014Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199942234

ISBN - 13:9780199942237

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Table of Contents

1. Rafael A. Calvo, Sidney K. D'Mello, Jonathan Gratch, and Arvid Kappas: Introduction to Affective ComputingSection One: Theories and Models2. Rosalind W. Picard: The Promise of Affective Computing3. Rainer Reisenzein: A Short History of Psychological Perspectives of Emotion4. Andrew H. Kemp, Jonathan Krygier, and Eddie Harmon-Jones: Neuroscientific Perspectives of Emotion5. Jonathan Gratch and Stacy Marsella: Appraisal Models6. Brian Parkinson: Emotions in Interpersonal Life: Computer Mediation, Modeling, and Simulation7. Maja Pantic and Alessandro Vinciarelli: Social Signal Processing8. Christine Lisetti and Eva Hudlicka: Why and How to Build Emotion-Based Agent Architectures9. Despina Kakoudaki: Affect and Machines in the MediaSection Two: Affect Detection10. Jeff Cohn and Fernando De la Torre: Automated Face Analysis for Affective Computing11. Nadia Bianchi-Berthouze and Andrea Kleinsmith: Automatic Recognition of Affective Body Expressions12. Chi-Chun Lee, Jangwon Kim, Angeliki Metallinou, Carlos Busso, Sungbok Lee, and Shrikanth S. Narayanan: Speech in Affective Computing13. Carlo Strapparava and Rada Mihalcea: Affect Detection in Texts14. Jennifer Healey: Physiological Sensing of Affect15. Christian Mhl, Dirk Heylen, and Anton Nijholt: Affective Brain-Computer Interfaces: Neuroscientific Approaches to Affect Detection16. Ryan Baker and Jaclyn Ocumpaugh: Interaction-Based Affect Detection in Educational Software17. Ginevra Castellano, Hatice Gunes, Christopher Peters, and Bjorn Schuller: Multimodal Affect Detection for Naturalistic Human-Computer and Human-Robot InteractionsSection Three: Affect Generation18. Magalie Ochs, Radoslaw Niewiadomski, and Catherine Pelachaud: Facial Expressions of Emotions for Virtual Characters19. Stacy Marsella: Emotion Postures and Gestures20. Felix Burkhardt and Nick Campbell: Emotional Speech Synthesis21. Ana Paiva, Iolanda Leite, and Tiago Ribeiro: Emotion Modeling for Social Robots22. Elisabeth Andre: Preparing Emotional Agents for Intercultural CommunicationSection Four: Methodologies and Databases23. Bjorn Schuller: Multimodal Databases: Collection, Challenges, and Chances24. Roddy Cowie: Ethical Issues in Affective Computing (Research Studies and Outcomes)25. M. Sazzad Hussain, Sidney K. D'Mello, and Rafael A. Calvo: Research and Development Tools in Affective Computing26. Shazia Afzal and Peter Robinson: Emotion Data Collection and Its Implications for Affective Computing27. Jacqueline M. Kory and Sidney K. D'Mello: Emotion Elicitation28. Robert R. Morris and Daniel McDuff: Crowdsourcing Techniques for Affective Computing29. Marc Schroder, Paolo Baggia, Felix Burkhardt, Catherine Pelachaud, Christian Peter, and Enrico Zovato: Emotion Mark-Up Language30. Ashish Kapoor: Machine Learning Techniques in Affective ComputingSection Five: Applications of Affective Computing31. Sidney K. D'Mello and Art C. Graesser: Feeling, Thinking, and Computing with Affect-Aware Learning Technologies32. Chad Lane: Enhancing Informal Learning Experiences with Affect-Aware Technology33. Rafael A. Calvo: Affect-Aware Reflective Writing Studios34. Georgios N. Yannakakis and Ana Paiva: Emotions and Games35. Egon L. van den Broek, Joris H. Janssen, and Joyce Westerink: Autonomous Closed-Loop Biofeedback: An Introduction and a Melodious Application36. Ronald Arkin and Lilia Moshkina: Affect in Human-Robot Interaction37. Jakki Bailey and Jeremy Bailenson: Virtual Reality and Collaboration38. Aaron Elkins, Stefanos Zafeiriou, Judee Burgoon, and Maja Pantic: Unobtrusive Deception Detection39. Daniel Messinger, Leticia Lobo Duvivier, Zachary Warren, Mohammad Mahoor, Jason Baker, Anne Warlaumont, and Paul Ruvolo: Affective Computing, Emotional Development, and Autism40. Timothy Bickmore: Relational Agents in Health Applications: Leveraging Affective Computing to Promote Healing and Wellness41. Giuseppe Riva, Rafael A. Calvo, and Christine Lisetti: Cyberpsychology and Affective ComputingGlossaryIndex