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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. This book presents an interdisciplinary exploration of this rapidly expanding field, aimed at those in psychology, computational neuroscience, computer science, and AI.
INDICE:
Scherer, KR, Bänziger, T, Roesch E.B.: Preface; Theoretical approaches to the study of emotion in humans and machines; Introduction; 1.1: Scherer, K.R.: Emotion and emotional competence: conceptual and theoretical issues for modeling; 1.2: Marsella, S., Gratch, J., Petta, P.: Computational models of emotion; The emotion process: Perspectives from psychology and the neurosciences; Introduction; 2.1: Scherer, KR: The component process model: a blueprint for a comprehensive computational model of emotion; 2.2: Grandjean D., Sander, D.: The emotional brain meets affective computing; 2.3: Bänziger, T, With, S., Kaiser, S: The face and voice of emotions: the expressions of emotions; 2.4: Kreibig, S., Schaefer, G., Brosch, T.: Psychological response patterning in emotion: implications for affective computing; 2.5: Parkinson, B: Emotions in interpersonal interactions; Emotional expression: Ground truth and agent evaluation; Introduction; 3.1: Cowie, R., Douglas-Cowie, E., Martin, J.-C-, Devillers, L.: The essential role of human databases for learning in and validation of affectively competent agents; 3.2: Scherer, KR. & Bänziger, T.: On the use of actor portrayals in research on emotional expression; Approaches to the computational modelling of emotion; Introduction; 4.1: Becker-Asano, C., Wachsmuth, I.: WASABI as a case study of how misattribution of emotion can be modelled computationally; 4.2: Roesch, EB, Korsten, N, Fragopanagos, N., Taylor, JG: Emotions in artificial neural networks; Approaches to the implementation of emotionally competent agents; Introduction; 5.1: Hyniewska, S., Niewiadomski, R., Mancini, M., Pelachaud, C.: Expression of affects in Embodied Conversational Agents; 5.2: Schröder, M., Burkhardt, F., Krstulovic, S.: Synthesis of emotional speech; 5.3: Devillers, L., Vidrascu, L., Layachi, O.: Automatic detection of emotion from vocal expression; 5.4: Castellano, G., Caridakis, G., Camurri, A., Karpouzis, K., Volpe, G., Kollias, S.: Body gesture and facial expression analysis for automatic affect recognition; 5.5: Niewiadomski, R., Mancini, M., Hyniewska, S., Pelachaud, C.: Communicating emotional states with the Greta agent; Approaches to developing expression corpora and databases; Introduction; 6.1: Bänziger, T & Scherer, KR: Introducing the Geneva Multimodal Emotion Portrayal (GEMEP) corpus; 6.2: Cowie, R., Douglas-Cowie, E., Sneddon, I., McRorie, Hanratty, J., McMahon, E. ,McKeown, G.: Induction techniques developed to illuminate relationships between signs of emotion and their context, physical and social.; Conclusions
Students and researchers in psychology, human computer interaction, computer science, artificial intelligence
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