Features

• Provides an updated introduction to the field of Affective Computing
• Consists of self-contained chapters that can be used selectively for the development of customized courses for particular disciplines
• Presents in-depth summary relevant empirical and theoretical research from psychology and neuroscience
• Includes up-to-date information about state-of-the-art methods and techniques for emotion sensing and recognition, expression and modeling
• Contains practical guidelines for selecting techniques most appropriate for a particular application
• Supports the systematic comparison and analysis of alternative theories and methods in the three primary areas of affective computing: emotion sensing and recognition, emotion expression, and emotion modeling in cognitive and agent architectures

Summary

In spite of the rapid growth that has made affective computing a highly active area of research and practice, no single volume exists that covers recent technological developments and provide the necessary background on relevant empirical research and theoretical foundations from psychology and neuroscience. Filling this need, this book is designed to be a textbook for advanced undergraduate and graduate courses and an introductory practitioner guide for newcomers to the field. Its’ depth of coverage makes it suitable as reference for researchers and practitioners in the different subfields of affective computing.