KU Leuven
Quantitative Psychology and Individual Differences

Project
Testing a mathematical model of affect dynamics

Emotions change over time, albeit differently for each individual. Understanding the person-specific emotional fluctuations may give insight in their personality, interaction with and reactivity towards the environment, and the risk of developing mood disorders. Capturing and predicting these individual-specific affective fluctuations are thus of great importance. The Affective Ising Model (AIM) is a nonlinear, continuous-time diffusion model that intends to describe these affective fluctuations. While it was found that the AIM outperforms other models of affect dynamics, validation of the AIM is still in its infancy. With this project, we attempt to evaluate the performance of the AIM as a model of affect dynamics using data from both the laboratory and daily life.

Supervisors
Francis Tuerlinckx, Wolf Vanpaemel, Agnes Moors

Financed by

Period
2019 – 2023