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Computational modeling of short- and long-term affect dynamics
Throughout their daily life, humans experience a range of affective experiences (e.g., feeling happy mostly, but also sad from time to time); the daily fluctuations of affect can be seen as short-term affect dynamics. However, long-term changes may also occur. This happens, for example, when a person falls into a depression. Such long-term structural changes of the affect system have a profound impact on the short-term affect dynamics (e.g., rarely becoming excited about positive events). This project's overall goal is to develop computational models and methods to study the short-term dynamics of affect, to examine long-term changes in these short-term dynamics (either arising naturally or induced through therapeutic interventions), and to understand the complex interplay between the short- and long-term dynamics.
Date:1 Oct 2021 → 31 May 2022
Keywords:affect dynamics, computational modeling, computational psychiatry, statistical inference
Disciplines:Motivation and emotion, Mathematical psychology, Psychometrics, Statistics and data analysis, Modelling and simulation