Towards an Affective Intelligent Agent Model for Extrinsic Emotion Regulation
Emotion regulation is the human ability to modulate one’s or other emotions to maintain emotional well-being. Despite its importance, only a few computational models have been proposed for facilitating emotion regulation. None of them prepare a plan of all the actions necessary for emotion regulatio...
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MDPI AG
2024-02-01
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Series: | Systems |
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Online Access: | https://www.mdpi.com/2079-8954/12/3/77 |
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author | Aaron Pico Joaquin Taverner Emilio Vivancos Vicente Botti Ana García-Fornes |
author_facet | Aaron Pico Joaquin Taverner Emilio Vivancos Vicente Botti Ana García-Fornes |
author_sort | Aaron Pico |
collection | DOAJ |
description | Emotion regulation is the human ability to modulate one’s or other emotions to maintain emotional well-being. Despite its importance, only a few computational models have been proposed for facilitating emotion regulation. None of them prepare a plan of all the actions necessary for emotion regulation customized to the needs of a specific individual. To address this gap, we propose a computational model for an intelligent agent which, grounded in a multidimensional emotion representation, facilitates emotion regulation in individuals. This computational model is based on J. Gross’s theoretical framework of emotion regulation. An intelligent agent selects the most appropriate regulation strategy to maintain an individual’s emotional equilibrium considering the individual’s personality traits. A dynamic planner prepares a plan of emotion regulation actions which is dynamically adapted according to the emotional changes observed in the individual after applying the previous emotion regulation actions. This refinement of the initial regulatory action plan allows the proposed emotion regulation agent to adapt the plan to the specific characteristics of the individual, facilitating the individual to improve their emotion regulation capabilities and improve their emotional health. |
first_indexed | 2024-04-24T17:48:51Z |
format | Article |
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issn | 2079-8954 |
language | English |
last_indexed | 2024-04-24T17:48:51Z |
publishDate | 2024-02-01 |
publisher | MDPI AG |
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series | Systems |
spelling | doaj.art-dc65cf6ebbaa42f0bf8a4f5f69ebb1942024-03-27T14:05:41ZengMDPI AGSystems2079-89542024-02-011237710.3390/systems12030077Towards an Affective Intelligent Agent Model for Extrinsic Emotion RegulationAaron Pico0Joaquin Taverner1Emilio Vivancos2Vicente Botti3Ana García-Fornes4Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, SpainValencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, SpainValencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, SpainValencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, SpainValencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, SpainEmotion regulation is the human ability to modulate one’s or other emotions to maintain emotional well-being. Despite its importance, only a few computational models have been proposed for facilitating emotion regulation. None of them prepare a plan of all the actions necessary for emotion regulation customized to the needs of a specific individual. To address this gap, we propose a computational model for an intelligent agent which, grounded in a multidimensional emotion representation, facilitates emotion regulation in individuals. This computational model is based on J. Gross’s theoretical framework of emotion regulation. An intelligent agent selects the most appropriate regulation strategy to maintain an individual’s emotional equilibrium considering the individual’s personality traits. A dynamic planner prepares a plan of emotion regulation actions which is dynamically adapted according to the emotional changes observed in the individual after applying the previous emotion regulation actions. This refinement of the initial regulatory action plan allows the proposed emotion regulation agent to adapt the plan to the specific characteristics of the individual, facilitating the individual to improve their emotion regulation capabilities and improve their emotional health.https://www.mdpi.com/2079-8954/12/3/77emotion regulationaffective computingintelligent agentsaffective agents |
spellingShingle | Aaron Pico Joaquin Taverner Emilio Vivancos Vicente Botti Ana García-Fornes Towards an Affective Intelligent Agent Model for Extrinsic Emotion Regulation Systems emotion regulation affective computing intelligent agents affective agents |
title | Towards an Affective Intelligent Agent Model for Extrinsic Emotion Regulation |
title_full | Towards an Affective Intelligent Agent Model for Extrinsic Emotion Regulation |
title_fullStr | Towards an Affective Intelligent Agent Model for Extrinsic Emotion Regulation |
title_full_unstemmed | Towards an Affective Intelligent Agent Model for Extrinsic Emotion Regulation |
title_short | Towards an Affective Intelligent Agent Model for Extrinsic Emotion Regulation |
title_sort | towards an affective intelligent agent model for extrinsic emotion regulation |
topic | emotion regulation affective computing intelligent agents affective agents |
url | https://www.mdpi.com/2079-8954/12/3/77 |
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