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Social Signal Processing

Social Signal Processing

£69.99

  • Date Published: May 2017
  • availability: In stock
  • format: Hardback
  • isbn: 9781107161269

£ 69.99
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About the Authors
  • 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.

    • Presents a comprehensive view of the field within a single volume, bringing together domains as diverse as computing science and psychology
    • Each chapter offers a basic introduction and a survey of current research
    • Emphasizes techniques and applications as well as foundations
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    Product details

    • Date Published: May 2017
    • format: Hardback
    • isbn: 9781107161269
    • length: 440 pages
    • dimensions: 260 x 185 x 23 mm
    • weight: 1.05kg
    • contains: 20 b/w illus. 10 tables
    • availability: In stock
  • Table of Contents

    1. Introduction
    Part I. Conceptual Foundations of Social Signal Processing:
    2. What does it mean to be social?
    3. Universal dimensions of social cognition
    4. Measuring responses to nonverbal social signals
    5. Computational analysis of vocal expression of affect - trends and challenges
    6. The vertical dimension of social signaling
    7. Self-presentation
    8. Interaction coordination and adaptation
    9. Social signals and persuasion
    10. Social presence in CMC and VR
    Part II. Machine Analysis of Social Signals:
    11. Facial actions as social signals
    12. Automatic analysis of bodily social signals
    13. Computational approaches for personality prediction
    14. Automatic analysis of aesthetics
    15. Interpersonal synchrony
    16. Automatic analysis of social emotions
    17. Social signal processing for automatic role recognition
    18. Machine learning methods for social signal processing
    Part III. Machine Synthesis of Social Signals:
    19. Speech synthesis
    20. Body movements generation for virtual characters and social robots
    21. Approach and dominance as social signals for affective interfaces
    22. Virtual reality and prosocial behaviour
    23. Social signal processing in social robotics
    Part IV. Applications of Social Signal Processing:
    24. Social signal processing for surveillance
    25. Analysis of small groups
    26. Multimedia implicit tagging
    27. Social signal processing for conflict analysis and understanding
    28. Social signal processing and socially assistive robotics in developmental disorders
    29. Social signal of deception and dishonesty.

  • Editors

    Judee K. Burgoon, University of Arizona
    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, Université de Genève
    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, Imperial College London
    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, University of Glasgow
    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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