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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Social Signal Processing is the first book to cover all aspects of the modeling, automated detection, analysis, and synthesis of nonverbal behavior in human-human and human-machine interactions. Authoritative surveys address conceptual foundations, machine analysis and synthesis of social signal processing, and applications. Foundational topics include affect perception and interpersonal coordination in communication; later chapters cover technologies for automatic detection and understanding such as computational paralinguistics and facial expression analysis and for the generation of artificial social signals such as social robots and artificial agents. The final section covers a broad spectrum of applications based on social signal processing in healthcare, deception detection, and digital cities, including detection of developmental diseases and analysis of small groups. Each chapter offers a basic introduction to its topic, accessible to students and other newcomers, and then outlines challenges and future perspectives for the benefit of experienced researchers and practitioners in the field.
 

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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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