Applied Affective Computing
eBook - ePub

Applied Affective Computing

  1. 308 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applied Affective Computing

About this book

Affective computing is a nascent field situated at the intersection of artificial intelligence with social and behavioral science. It studies how human emotions are perceived and expressed, which then informs the design of intelligent agents and systems that can either mimic this behavior to improve their intelligence or incorporate such knowledge to effectively understand and communicate with their human collaborators. Affective computing research has recently seen significant advances and is making a critical transformation from exploratory studies to real-world applications in the emerging research area known as applied affective computing.

This book offers readers an overview of the state-of-the-art and emerging themes in affective computing, including a comprehensive review of the existing approaches to affective computing systems and social signal processing. It provides in-depth case studies of applied affective computing in various domains, such as social robotics and mental well-being. It also addresses ethical concerns related to affective computing and how to prevent misuse of the technology in research and applications. Further, this book identifies future directions for the field and summarizes a set of guidelines for developing next-generation affective computing systems that are effective, safe, and human-centered.

For researchers and practitioners new to affective computing, this book will serve as an introduction to the field to help them in identifying new research topics or developing novel applications. For more experienced researchers and practitioners, the discussions in this book provide guidance for adopting a human-centered design and development approach to advance affective computing.

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Yes, you can access Applied Affective Computing by Leimin Tian,Sharon Oviatt,Michal Muszynski,Brent Chamberlain,Jennifer Healey,Akane Sano in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Halftitle
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. List of Figures
  8. List of Tables
  9. Preface
  10. Chapter 1 Introduction to Applied Affective Computing
  11. Chapter 2 Emotions as Studied in Psychology and Cognitive Science
  12. Chapter 3 Machine Learning Approaches for Applied Affective Computing
  13. Chapter 4 Multimodal Data Collection and Processing for Applied Affective Computing
  14. Chapter 5 Emotion Recognition in the Wild
  15. Chapter 6 Reinforcement Learning and Affective Computing
  16. Chapter 7 Synthesizing Natural and Believable Emotional Expressions
  17. Chapter 8 Emotion-aware Human-Robot Interaction and Social Robots
  18. Chapter 9 Affective Computing for Enhancing Well-Being
  19. Chapter 10 Applied Affective Computing in Built Environments
  20. Chapter 11 Addressing Ethical Issues of Affective Computing
  21. Chapter 12 Future of Affective Computing and Applied Affective Computing
  22. Bibliography
  23. Authors’ Biographies
  24. Index