@inproceedings{a0ebcc09b0ba4e15858e9ca53e3006c0,
title = "A temporal-causal network model for age and gender difference in choice of emotion regulation strategies",
abstract = "Emotion regulation is an essential part of human{\textquoteright}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{\textquoteright}s psychological well-being. 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.",
keywords = "Cognitive reappraisal, Emotion regulation, Expressive suppression, Gender differences, Temporal causal network modeling",
author = "Zhenyu Gao and Rui Liu and Nimat Ullah",
year = "2019",
doi = "10.1007/978-3-030-28377-3_9",
language = "English",
isbn = "9783030283766",
volume = "1",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "106--117",
editor = "Nguyen, {Ngoc Thanh} and Richard Chbeir and Ernesto Exposito and Philippe Aniort{\'e} and Bogdan Trawinski and Nguyen, {Ngoc Thanh}",
booktitle = "Computational Collective Intelligence",
address = "Germany",
note = "11th International Conference on Computational Collective Intelligence, ICCCI 2019 ; Conference date: 04-09-2019 Through 06-09-2019",
}
