Social Signal Processing

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Judee K. Burgoon, Nadia Magnenat-Thalmann, Maja Pantic, Alessandro Vinciarelli
Cambridge University Press, May 8, 2017 - Computers - 440 pages
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What does it mean to be social? distinguishing social from biological signal systems -- Universal dimensions of social cognition -- Measuring responses to nonverbal social signals: research on affect receiving ability -- Computational analysis of vocal expression of affect - trends and challenges -- The vertical dimension of social signaling -- Self-presentation: signaling personal and social characteristics -- Interaction coordination and adaptation -- Social signals and persuasion -- Social presence in CMC and VR -- Facial actions as social signals -- Automatic analysis of bodily social signals -- Computational approaches for personality prediction -- Automatic analysis of aesthetics: human beauty, attractiveness, and likability -- Interpersonal synchrony: from social perception to social interaction -- Automatic analysis of social emotions -- Social signal processing for automatic role recognition -- Machine learning methods for social signal processing -- Speech synthesis: state-of-the-art and challenges for the future -- Body movements generation for virtual characters and social robots -- Approach and dominance as social signals for affective interfaces -- Virtual reality and prosocial behaviour -- Social signal processing in social robotics -- Social signal processing for surveillance -- Analysis of small groups -- Multimedia implicit tagging -- Social signal processing for conflict analysis and understanding -- Social signal processing and socially assistive robotics in developmental disorders -- Social signal of deception and dishonesty
 

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Contents

Machine Analysis of Social Signals
2
Applications of Social Signal Processing
5
Biological and Social Signaling Systems
11
Warmth and Competence
23
The Vertical Dimension of Social Signaling
34
Research on Affect
46
Trends and Challenges
56
Signaling Personal and Social Characteristics
69
Human Beauty Attractiveness and Likability
183
From Social Perception to Social Interaction
202
Social Signal Processing for Automatic Role Recognition
225
State of the Art and Challenges for the Future
257
Body Movements Generation for Virtual Characters and Social Robots
273
Approach and Dominance as Social Signals for Affective Interfaces
287
Virtual Reality and Prosocial Behavior
304
Social Signal Processing in Social Robotics
317

Interaction Coordination and Adaptation
78
Social Signals and Persuasion
97
Social Presence in CMC and VR
110
Facial Actions as Social Signals
123
Automatic Analysis of Bodily Social Signals
155
Computational Approaches for Personality Prediction
168
Social Signal Processing for Surveillance
331
Analysis of Small Groups
349
Multimedia Implicit Tagging
368
Social Signal Processing and Socially Assistive Robotics in Developmental
389
Social Signals of Deception and Dishonesty
404
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About the author (2017)

Judee Burgoon is Professor of Communication, Family Studies and Human Development at the University of Arizona, where she is Director of Research for the Center for the Management of Information. She has authored or edited fourteen books and monographs and more than 300 published articles, chapters and reviews related to nonverbal and verbal communication, interpersonal deception, and computer-mediated communication. The recipient of the highest honors from the International Communication Association and National Communication Association, she has been named the most published woman in the field of communication in the twentieth century.

Nadia Magnenat-Thalmann has pioneered research into virtual humans over the last thirty years. Recently, she revolutionized robotics with her social robot, Nadine, who shows emotions and memory processes. She has received more than thirty awards and, besides directing her research group MIRALab at the University of Geneva, is presently Visiting Professor and Director of the Institute for Media Innovation (IMI) at Nanyang Technological University (NTU), Singapore.

Maja Pantic is Professor of Affective and Behavioral Computing and leader of the i·BUG group at Imperial College London, working on machine analysis of human non-verbal behavior and its applications to human-computer, human-robot and computer-mediated human-human interaction. She has published more than 250 technical papers in machine analysis of facial expressions, machine analysis of human body gestures, audiovisual analysis of emotions and social signals, and human-centered machine interfaces.

Alessandro Vinciarelli is Senior Lecturer (Associate Professor) of the School of Computing Science and Associate Academic of the Institute of Neuroscience and Psychology at the University of Glasgow. He has published more than 100 scientific works, has been principal or co-principal investigator on fifteen national and international projects, including the European Network of Excellence on Social Signal Processing. Vinciarelli has organized more than twenty-five scientific events and has co-funded a webcasting company, Klewel.

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