Affect Dynamics

This book explores the theory and measurement of affect dynamics, covering neural, psychological, and behavioral levels of processing, and providing analytical and computational techniques for assessing temporal changes in affective experiences. It discusses within-episode, between-episode, and between-person dynamics, and proposes computational models of affect.

Format: Hardback
Length: 332 pages
Publication date: 28 November 2021
Publisher: Springer Nature Switzerland AG

Affect Dynamics is a groundbreaking book that delves into the cutting-edge research on the theory and measurement of affect dynamics. It brings together leading experts in this emerging field to present the latest findings and analytical techniques. The book covers various aspects of affect dynamics, including their instantiation across neural, psychological, and behavioral levels of processing, as well as state-of-the-art analytical and computational techniques for assessing temporal changes in affective experiences.

In the section on Within-episode Affect Dynamics, the authors explore how single emotional episodes unfold, including the duration of affective responses, the dynamics of regulating those responses, and how these are instantiated in the brain. They discuss the role of affective regulation in shaping emotional experiences and the implications of these dynamics for mental health and well-being.

The section on Between-episode Affect Dynamics focuses on how emotions and moods at one point in time may influence subsequent emotions and moods. The authors highlight the importance of the time-scales on which we assess these dynamics and discuss the role of interpersonal relationships and social contexts in shaping affect dynamics.

In the section on Between-person Dynamics, the authors propose that interactions and relationships with others form much of the basis of our affect dynamics. They discuss the role of social influence, social norms, and cultural factors in shaping affective experiences and the implications of these dynamics for social behavior and communication.

Lastly, in the section on Computational Models of Affect, the authors provide state-of-the-art analytical techniques for assessing and modeling temporal changes in affective experiences. They discuss the use of machine learning algorithms, neural networks, and other computational methods to predict and understand affective dynamics.

Affect Dynamics is a valuable resource for both seasoned and beginning affective science researchers. It provides a comprehensive overview of the field and offers insights into the mechanisms underlying affective experiences and their impact on various aspects of human behavior. The book will be of interest to researchers in psychology, neuroscience, social science, and related fields.

In conclusion, Affect Dynamics is a must-read for anyone interested in the theory and measurement of affect dynamics. It offers a comprehensive and up-to-date overview of the field and provides valuable insights into the mechanisms underlying affective experiences and their impact on various aspects of human behavior.

Weight: 694g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030829643
Edition number: 1st ed. 2021