Affect Dynamics

About the Book

This book features cutting edge research on the theory and measurement of affect dynamics from the leading experts in this emerging field. Authors will discuss how affect dynamics are instantiated across neural, psychological and behavioral levels of processing and provide 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 discuss how single emotional episodes may unfold including the duration of affective responses, the dynamics of regulating those affective responses and how these are instantiated in the brain.

In the section on Between-episode Affect Dynamics, the authors discuss how emotions and moods at one point in time may influence subsequent emotions and moods, and the importance of the time-scales on which we assess these dynamics.

In the section on Between-person Dynamics the authors propose that interactions and relationships withothers form much of the basis of our affect dynamics.

Lastly, in the section on Computational Models of Affect, authors provide state of the art analytical techniques for assessing and modeling temporal changes in affective experiences.

Affect Dynamics will serve as a reference for both seasoned and beginning affective science researchers to explore affect changes across time, how these affect dynamics occur, and the causal antecedents of these dynamics.

Table of Contents:
A.      Overview.- 1.       Emotions happen over time, not because of time.- 2.       Historical perspective on affective dynamics.- 3.       Integrating affective dynamics across time scales.- B.      Within-episode Affective Dynamics.- 4.       The speed of appraisals.- 5.       Emotion duration.- 6.       Anticipation and recovery.- 7.       The neuroscience of affective dynamics.- 8.       The temporal dynamics of emotion regulation.- C.      Between-episode Affective Dynamics.- 9.       How emotions becomemoods.- 10.   Counterfactual emotions as dynamic processes.- 11.   Interpersonal affective dynamics.- 12.   Affective dynamics in social networks.- 13.   Affective dynamics in cross-cultural interactions.- D.      Across-daily life affective dynamics.- 14.   Sticky moods: Inertia.- 15.   Mood instability and depression.- 16. Modeling affective dynamics across daily life.

About the Author :
Dr. Christian Waugh is currently an Associate Professor of Psychology at Wake Forest University. He received his PhD in Social Psychology and Cognitive Neuroscience from the University of Michigan where he worked on the role of positive emotions in social cognition and resilience. After receiving his PhD, he did a postdoctoral fellowship at Stanford University where he investigated the neurobiology of stress and the temporal dynamics of emotions in at-risk populations. Currently, Dr. Waugh investigates the contextual utility of positive emotions during stress and the temporal dynamics of emotions. He has expertise in survey, experimental, peripheral psychophysiological, and neuroimaging methods. He has published several articles in prominent journals in psychology and neuroscience and has received several grants. He has also received faculty fellowship awards for being an outstanding teacher-scholar. He has given invited presentations all over the world and his work has been featured in both print and on television.

Dr. Peter Kuppens Is Professor of Psychology at KU Leuven-University of Leuven in Belgium. He obtained his PhD in Psychology from KU Leuven in 2004 and has been a visiting Research Fellow at the University of Melbourne, the University of New South Wales, and the University of Zürich. His early research concerned the appraisal basis of emotions, focusing on understanding the person- and context-specific nature of emotional experience. This work led him to start studying emotions as inherently time-dynamic phenomena, with an aim to identify the major patterns of affect dynamics, their underlying processes, and their downstream consequences for psychological well-being and psychopathology. In his research, he makes use of insights from affective, clinical, and personality science, relies on both lab-based and ambulatory methods of data collection, and on the application of mathematical modeling tools to make sense of complex time-series data. He is a fellow of the Association for Psychological Science and the Society for Personality and Social Psychology.