A Blueprint for Affective Computing: A sourcebook

Hardcover | October 30, 2010

EditorKlaus R. Scherer, Tanja Banziger, Etienne Roesch

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'Affective computing' is a branch of computing concerned with the theory and construction of machines which can detect, respond to, and simulate human emotional states. It is an interdisciplinary field spanning the computer sciences, psychology, and cognitive science. Affective computing is arapidly developing field within industry and science. There is now a great drive to make technologies such as robotic systems, avatars in service-related human computer interaction, e-learning, game characters, or companion devices more marketable by endowing the 'soulless' robots or agents with theability to recognize and adjust to the user's feelings as well as to be able to communicate appropriate emotional signals.A Blueprint for Affective Computing: A sourcebook is the very first attempt to ground affective computing within the disciplines of psychology, affective neuroscience, and philosophy. This book illustrates the contributions of each of these disciplines to the development of the ever-growing field ofaffective computing. In addition, it demonstrates practical examples of cross-fertilization between disciplines in order to highlight the need for integration of computer science, engineering and the affective sciences. Focusing on a topic at the frontiers of human computer interaction research, this book will be of great interest to students and researchers in psychology, neuroscience, computational neuroscience, computer science, and artificial intelligence.

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'Affective computing' is a branch of computing concerned with the theory and construction of machines which can detect, respond to, and simulate human emotional states. It is an interdisciplinary field spanning the computer sciences, psychology, and cognitive science. Affective computing is arapidly developing field within industry and...

Klaus Scherer, born in 1943, studied economics and social sciences at the University of Cologne and the London School of Economics. Following his postgraduate studies in psychology, he obtained a Ph.D. from Harvard University in 1970. After teaching at the University of Pennsylvania, Philadelphia, and the University of Kiel, Germany, ...

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Format:HardcoverDimensions:412 pages, 9.69 × 6.73 × 0.1 inPublished:October 30, 2010Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199566704

ISBN - 13:9780199566709

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Table of Contents

Scherer, KR, Banziger, T, Roesch E.B.: Preface1. Theoretical approaches to the study of emotion in humans and machinesIntroductionScherer, K.R.: 1.1 Emotion and emotional competence: conceptual and theoretical issues for modelingMarsella, S., Gratch, J., Petta, P.: 1.2 Computational models of emotion2. The emotion process: Perspectives from psychology and the neurosciencesIntroductionScherer, KR: 2.1 The component process model: a blueprint for a comprehensive computational model of emotionGrandjean D., Sander, D.: 2.2 The emotional brain meets affective computingBanziger, T, With, S., Kaiser, S: 2.3 The face and voice of emotions: the expressions of emotionsKreibig, S., Schaefer, G., Brosch, T.: 2.4 Psychological response patterning in emotion: implications for affective computingParkinson, B: 2.5 Emotions in interpersonal interactions3. Emotional expression: Ground truth and agent evaluationIntroductionCowie, R., Douglas-Cowie, E., Martin, J.-C-, Devillers, L.: 3.1 The essential role of human databases for learning in and validation of affectively competent agentsScherer, KR. and Banziger, T.: 3.2 On the use of actor portrayals in research on emotional expression4. Approaches to the computational modelling of emotionIntroductionBecker-Asano, C., Wachsmuth, I.: 4.1 WASABI as a case study of how misattribution of emotion can be modelled computationallyRoesch, EB, Korsten, N, Fragopanagos, N., Taylor, JG: 4.2 Emotions in artificial neural networks5. Approaches to the implementation of emotionally competent agentsIntroductionHyniewska, S., Niewiadomski, R., Mancini, M., Pelachaud, C.: 5.1 Expression of affects in Embodied Conversational AgentsSchroder, M., Burkhardt, F., Krstulovic, S.: 5.2 Synthesis of emotional speechDevillers, L., Vidrascu, L., Layachi, O.: 5.3 Automatic detection of emotion from vocal expressionCastellano, G., Caridakis, G., Camurri, A., Karpouzis, K., Volpe, G., Kollias, S.: 5.4 Body gesture and facial expression analysis for automatic affect recognitionNiewiadomski, R., Mancini, M., Hyniewska, S., Pelachaud, C.: 5.5 Communicating emotional states with the Greta agent6. Approaches to developing expression corpora and databasesIntroductionBanziger, T and Scherer, KR: 6.1 Introducing the Geneva Multimodal Emotion Portrayal (GEMEP) corpusCowie, R., Douglas-Cowie, E., Sneddon, I., McRorie, Hanratty, J., McMahon, E. ,McKeown, G.: 6.2 Induction techniques developed to illuminate relationships between signs of emotion and their context, physical and social.Conclusions