Simulating cognitive coping strategies for intelligent support agents

People react differently to stress.According to the Cognitive Motivational Relational Theory by Lazarus and Folkman, the appraisal of stress and the emotions related to it determine whether people cope with stress by focusing on altering the situation (problem focused) or on changing the emotional c...

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Main Authors: Ab. Aziz, Azizi, Klein, Michel C. A., Treur, Jan
Format: Conference or Workshop Item
Language:English
Published: 2010
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Online Access:http://repo.uum.edu.my/10561/1/A6.pdf
http://repo.uum.edu.my/10561/
http://www.proceedings.com/09137.html
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spelling my.uum.repo.105612014-04-20T08:41:46Z http://repo.uum.edu.my/10561/ Simulating cognitive coping strategies for intelligent support agents Ab. Aziz, Azizi Klein, Michel C. A. Treur, Jan QA76 Computer software People react differently to stress.According to the Cognitive Motivational Relational Theory by Lazarus and Folkman, the appraisal of stress and the emotions related to it determine whether people cope with stress by focusing on altering the situation (problem focused) or on changing the emotional consequences of the events (emotion focused). These different coping strategies have different effects on the long term.The coping process can be described in a formal dynamic model. Simulations using this model show that problem focused coping leads to better coping skills and higher decrease of long-term stress than emotion focused coping.These results also follow from a mathematical analysis of the model.The presented model can form the basis of an intelligent support system that uses a simulation of cognitive processes in humans in stressful conditions. 2010-08-11 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/10561/1/A6.pdf Ab. Aziz, Azizi and Klein, Michel C. A. and Treur, Jan (2010) Simulating cognitive coping strategies for intelligent support agents. In: 32th Annual Conference of the Cognitive Science Society (CogSci 2010), 11-14 August 2010, Portland, Oregon, USA. http://www.proceedings.com/09137.html
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Ab. Aziz, Azizi
Klein, Michel C. A.
Treur, Jan
Simulating cognitive coping strategies for intelligent support agents
description People react differently to stress.According to the Cognitive Motivational Relational Theory by Lazarus and Folkman, the appraisal of stress and the emotions related to it determine whether people cope with stress by focusing on altering the situation (problem focused) or on changing the emotional consequences of the events (emotion focused). These different coping strategies have different effects on the long term.The coping process can be described in a formal dynamic model. Simulations using this model show that problem focused coping leads to better coping skills and higher decrease of long-term stress than emotion focused coping.These results also follow from a mathematical analysis of the model.The presented model can form the basis of an intelligent support system that uses a simulation of cognitive processes in humans in stressful conditions.
format Conference or Workshop Item
author Ab. Aziz, Azizi
Klein, Michel C. A.
Treur, Jan
author_facet Ab. Aziz, Azizi
Klein, Michel C. A.
Treur, Jan
author_sort Ab. Aziz, Azizi
title Simulating cognitive coping strategies for intelligent support agents
title_short Simulating cognitive coping strategies for intelligent support agents
title_full Simulating cognitive coping strategies for intelligent support agents
title_fullStr Simulating cognitive coping strategies for intelligent support agents
title_full_unstemmed Simulating cognitive coping strategies for intelligent support agents
title_sort simulating cognitive coping strategies for intelligent support agents
publishDate 2010
url http://repo.uum.edu.my/10561/1/A6.pdf
http://repo.uum.edu.my/10561/
http://www.proceedings.com/09137.html
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score 13.18916