Estimating emotion regulation capabilities

To improve the performance and wellbeing of humans in complex human-computer interaction settings, ambient (or pervasive) systems need the capability to recognize the emotions of humans, but also the ability to reason about their emotion regulation processes. To this end, this paper introduces a computational model to estimate and reason about emotion regulation. The model has been implemented and tested using the high-level modeling language LEADSTO. A first evaluation indicates that the model is successful in estimating a person's emotion regulation dynamics, and is robust to different parameter settings.

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