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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Main Authors: Aaron Pico, Joaquin Taverner, Emilio Vivancos, Vicente Botti, Ana García-Fornes
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Systems
Subjects:
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.
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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
work_keys_str_mv AT aaronpico towardsanaffectiveintelligentagentmodelforextrinsicemotionregulation
AT joaquintaverner towardsanaffectiveintelligentagentmodelforextrinsicemotionregulation
AT emiliovivancos towardsanaffectiveintelligentagentmodelforextrinsicemotionregulation
AT vicentebotti towardsanaffectiveintelligentagentmodelforextrinsicemotionregulation
AT anagarciafornes towardsanaffectiveintelligentagentmodelforextrinsicemotionregulation