This paper proposes a novel computational model for emotion regulation process which integrates the traditional appraisal approach with the dynamics of emotion contagion. The proposed model uses a fuzzy appraisal approach to analyze the influence of applying different regulation strategies as directed pro-regulation interventions to the system. Furthermore, the dynamics of changes in the population of emotional and neutral agents were modeled. The proposed model provides an effective framework to monitor and intervene as affect regulator in catastrophic situations such as natural disasters and epidemic diseases. © 2014 Springer International Publishing.
CITATION STYLE
Soleimani, A., & Kobti, Z. (2014). Toward a computational model for collective emotion regulation based on emotion contagion phenomenon. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8436 LNAI, pp. 351–356). Springer Verlag. https://doi.org/10.1007/978-3-319-06483-3_37
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