Gratch / Marsella | Social Emotions in Nature and Artifact | Buch | 978-0-19-538764-3 | sack.de

Buch, Englisch, 224 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 625 g

Reihe: Oxford Series on Cognitive Models and Architectures

Gratch / Marsella

Social Emotions in Nature and Artifact


Erscheinungsjahr 2017
ISBN: 978-0-19-538764-3
Verlag: ACADEMIC

Buch, Englisch, 224 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 625 g

Reihe: Oxford Series on Cognitive Models and Architectures

ISBN: 978-0-19-538764-3
Verlag: ACADEMIC


Recent years have seen the rise of a remarkable partnership between the social and computational sciences on the phenomena of emotions. Rallying around the term Affective Computing, this research can be seen as revival of the cognitive science revolution, albeit garbed in the cloak of affect, rather than cognition. Traditional cognitive science research, to the extent it considered emotion at all, cases it as at best a heuristic but more commonly a harmful bias to
cognition. More recent scholarship in the social sciences has upended this view.

Increasingly, emotions are viewed as a form of information processing that serves a functional role in human cognition and social interactions. Emotions shape social motives and communicate important information to social partners. When communicating face-to-face, people can rapidly detect nonverbal affective cues, make inferences about the other party's mental state, and respond in ways that co-construct an emotional trajectory between participants. Recent advances in biometrics and
artificial intelligence are allowing computer systems to engage in this nonverbal dance, on the one hand opening a wealth of possibilities for human-machine systems, and on the other, creating powerful new tools for behavioral science research.

Social Emotions in Nature and Artifact reports on the state-of-the-art in both social science theory and computational methods, and illustrates how these two fields, together, can both facilitate practical computer/robotic applications and illuminate human social processes.

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Zielgruppe


Faculty, research scientists and graduate students interested in interdisciplinary research on the topic of emotion. Readers in fields of psychology, artificial intelligence, human-computer interaction, human-robot interaction, cognitive science, communications.

Weitere Infos & Material


JG: Associate Director for Virtual Humans Research, University of Southern California, Institute for Creative Technologies, Research Associate Professor, Department of Computer Science and co-director, USC Computational Emotion GroupSM: Project Leader, University of Southern California, Information Sciences Institute, Research Associate Professor of Computer Science, University of Southern California



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