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

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

doi:10.1007/978-3-319-59294-7_30

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 proceeding › Conference contribution › Academic › peer-review

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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 language	English
Title of host publication	Multi-Agent Systems and Agreement Technologies
Subtitle of host publication	14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers
Editors	Natalia Criado Pacheco, Carlos Carrascosa, Nardine Osman, Vicente Julián Inglada
Publisher	Springer
Pages	350-363
Number of pages	14
ISBN (Electronic)	9783319592947
ISBN (Print)	9783319592930
DOIs	https://doi.org/10.1007/978-3-319-59294-7_30
Publication status	Published - 2017

Publication series

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer
Volume	10207

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

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10.1007/978-3-319-59294-7_30

Monitoring the Impact of Negative Events and Deciding about Emotion Regulation StrategiesFinal published version, 649 KBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/309731046_Monitoring_the_Impact_of_Negative_Events_and_Deciding_about_Emotion_Regulation_Strategies

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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, C. Carrascosa, N. Osman, & V. J. Inglada (Eds.), Multi-Agent Systems and Agreement Technologies: 14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers (pp. 350-363). (Lecture Notes in Artificial Intelligence; Vol. 10207). Springer. https://doi.org/10.1007/978-3-319-59294-7_30

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: 14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers. editor / Natalia Criado Pacheco ; Carlos Carrascosa ; Nardine Osman ; Vicente Julián Inglada. Springer, 2017. pp. 350-363 (Lecture Notes in Artificial Intelligence).

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title = "Monitoring the Impact of Negative Events and Deciding about Emotion Regulation Strategies",

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.",

author = "Adnan Manzoor and A.H. Abro and J. Treur",

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doi = "10.1007/978-3-319-59294-7\_30",

language = "English",

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series = "Lecture Notes in Artificial Intelligence",

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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, C Carrascosa, N Osman & VJ Inglada (eds), Multi-Agent Systems and Agreement Technologies: 14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers. Lecture Notes in Artificial Intelligence, vol. 10207, Springer, pp. 350-363. https://doi.org/10.1007/978-3-319-59294-7_30

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: 14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers. ed. / Natalia Criado Pacheco; Carlos Carrascosa; Nardine Osman; Vicente Julián Inglada. Springer, 2017. p. 350-363 (Lecture Notes in Artificial Intelligence; Vol. 10207).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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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.

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T3 - Lecture Notes in Artificial Intelligence

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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, Carrascosa C, Osman N, Inglada VJ, editors, Multi-Agent Systems and Agreement Technologies: 14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers. Springer. 2017. p. 350-363. (Lecture Notes in Artificial Intelligence). Epub 2017 Jun 23. doi: 10.1007/978-3-319-59294-7_30

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

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