A Temporal-Causal Network Model for Age and Gender Difference in Choice of Emotion Regulation Strategies

被引：3

作者：

Gao, Zhenyu ^{[1
]}

Liu, Rui ^{[1
]}

Ullah, Nimat ^{[1
]}

机构：

[1] Vrije Univ Amsterdam, Amsterdam, Netherlands

来源：

COMPUTATIONAL COLLECTIVE INTELLIGENCE, PT I | 2019年 / 11683卷

关键词：

Emotion regulation; Cognitive reappraisal; Expressive suppression; Gender differences; Temporal causal network modeling; INDIVIDUAL-DIFFERENCES;

D O I：

10.1007/978-3-030-28377-3_9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Emotion regulation is an essential part of human's life as it enables people to manage their emotions and to avoid negative consequences of them and/or situations triggering them. The choice of an emotion regulation strategy in a specific situation has a profound impact on someone's psychological wellbeing. Several psychological studies also have highlighted age and gender differences in choice of emotion regulation strategies specifically in relation to cognitive reappraisal and expressive suppression. This paper, for the first time, presents a computational model for the role of age and gender differences in the choice of emotion regulation strategies. Simulation results are reported for various combinations of age and gender and the respective choices of regulation strategies as found in empirical literature.

引用

页码：106 / 117

页数：12

共 25 条

[1] A Computational Cognitive Model Integrating Different Emotion Regulation Strategies [J].