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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
LanguageEnglish
Title of host publicationMulti-Agent Systems and Agreement Technologies, Proc. of the14th European Conference on Multi-Agent Systems, EUMAS'16
EditorsN Criado Pacheco
PublisherSpringer
Pages350-363
Number of pages14
StatePublished - 2017

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer
Volume10207

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Monitoring

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Manzoor, A., Abro, A. H., & Treur, J. (2017). Monitoring the Impact of Negative Events and Deciding about Emotion Regulation Strategies. In N. Criado Pacheco (Ed.), Multi-Agent Systems and Agreement Technologies, Proc. of the14th European Conference on Multi-Agent Systems, EUMAS'16 (pp. 350-363). (Lecture Notes in Artificial Intelligence; Vol. 10207). Springer.
Manzoor, Adnan ; Abro, A.H. ; Treur, J./ Monitoring the Impact of Negative Events and Deciding about Emotion Regulation Strategies. Multi-Agent Systems and Agreement Technologies, Proc. of the14th European Conference on Multi-Agent Systems, EUMAS'16. editor / N Criado Pacheco. Springer, 2017. pp. 350-363 (Lecture Notes in Artificial Intelligence).
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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.",
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Manzoor, A, Abro, AH & Treur, J 2017, Monitoring the Impact of Negative Events and Deciding about Emotion Regulation Strategies. in N Criado Pacheco (ed.), Multi-Agent Systems and Agreement Technologies, Proc. of the14th European Conference on Multi-Agent Systems, EUMAS'16. Lecture Notes in Artificial Intelligence, vol. 10207, Springer, pp. 350-363.

Monitoring the Impact of Negative Events and Deciding about Emotion Regulation Strategies. / Manzoor, Adnan; Abro, A.H.; Treur, J.

Multi-Agent Systems and Agreement Technologies, Proc. of the14th European Conference on Multi-Agent Systems, EUMAS'16. ed. / N Criado Pacheco. Springer, 2017. p. 350-363 (Lecture Notes in Artificial Intelligence; Vol. 10207).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Monitoring the Impact of Negative Events and Deciding about Emotion Regulation Strategies

AU - Manzoor,Adnan

AU - Abro,A.H.

AU - Treur,J.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

M3 - Conference contribution

T3 - Lecture Notes in Artificial Intelligence

SP - 350

EP - 363

BT - Multi-Agent Systems and Agreement Technologies, Proc. of the14th European Conference on Multi-Agent Systems, EUMAS'16

PB - Springer

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Manzoor A, Abro AH, Treur J. Monitoring the Impact of Negative Events and Deciding about Emotion Regulation Strategies. In Criado Pacheco N, editor, Multi-Agent Systems and Agreement Technologies, Proc. of the14th European Conference on Multi-Agent Systems, EUMAS'16. Springer. 2017. p. 350-363. (Lecture Notes in Artificial Intelligence).