Monitoring the Impact of Negative Events and Deciding about Emotion Regulation Strategies

Adnan Manzoor, A.H. Abro, J. Treur

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Abstract

Humans have a number of emotion regulation strategies at their disposal, from which in a particular situation one or more can be chosen. The focus of this paper is on the processes behind the choice of these regulation strategies. The paper presents a neurologically inspired cognitive computational model of a monitoring and decision mechanism for emotion regulation incorporating different strategies (expressive suppression, reappraisal or reinterpretation, and situation modification). It can be tuned to specific characteristics of persons and events. This paper won the Best Paper Award at the EUMAS'16 conference.
Original languageEnglish
Title of host publicationMulti-Agent Systems and Agreement Technologies
Subtitle of host publication14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers
EditorsNatalia Criado Pacheco, Carlos Carrascosa, Nardine Osman, Vicente Julián Inglada
PublisherSpringer
Pages350-363
Number of pages14
ISBN (Electronic)9783319592947
ISBN (Print)9783319592930
DOIs
Publication statusPublished - 2017

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer
Volume10207

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