Matching Skin Conductance Data to a Cognitive Model of Reappraisal

Abstract

In the present paper we show that an existing mathematical model of emotion regulation can, if reduced to its reappraisal-specific components, fit skin conductance data obtained from an empirical study of reappraisal. By applying parameter tuning techniques, optimal fits of the model have been found against the (averaged) patterns of the skin conductance data. The errors that were found turned out to be relatively low. Moreover, they have been compared with the errors produced by a baseline variant of the model where the adaptive cycle has been removed, and were found substantially lower.


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