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Reinforcement Emotion-Cognition System: A Teaching Words Task

The goal of this paper is to suggest a system for intelligent learning environments with robots modeling of emotion regulation and cognition based on quantitative motivation. A detailed interactive situation for teaching words is proposed. In this study, we introduce one bottom-up collaboration meth...

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Detalles Bibliográficos
Autores principales: Li, Minjia, Xie, Lun, Zhang, Anqi, Ren, Fuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6525871/
https://www.ncbi.nlm.nih.gov/pubmed/31191634
http://dx.doi.org/10.1155/2019/8904389
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author Li, Minjia
Xie, Lun
Zhang, Anqi
Ren, Fuji
author_facet Li, Minjia
Xie, Lun
Zhang, Anqi
Ren, Fuji
author_sort Li, Minjia
collection PubMed
description The goal of this paper is to suggest a system for intelligent learning environments with robots modeling of emotion regulation and cognition based on quantitative motivation. A detailed interactive situation for teaching words is proposed. In this study, we introduce one bottom-up collaboration method for emotion-cognition interplay and behaviour decision-making. Integration with gross emotion regulation theory lets the proposed system adapt to natural interactions between students and the robot in emotional interaction. Four key ideas are advocated, and they jointly set up a reinforcement emotion-cognition system (RECS). First, the quantitative motivation is grounded on external interactive sensory detection, which is affected by memory and preference. Second, the emotion generation triggered by an initial motivation such as external stimulus is also influenced by the state in the previous time. Third, the competitive and cooperative relationship between emotion and motivation intervenes to make the decision of emotional expression and teaching actions. Finally, cognitive reappraisal, the emotion regulation strategy, is introduced for the establishment of emotion transition combined with personalized cognition. We display that this RECS increases the robot emotional interactive performance and makes corresponding teaching decision through behavioural and statistical analysis.
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spelling pubmed-65258712019-06-12 Reinforcement Emotion-Cognition System: A Teaching Words Task Li, Minjia Xie, Lun Zhang, Anqi Ren, Fuji Comput Intell Neurosci Research Article The goal of this paper is to suggest a system for intelligent learning environments with robots modeling of emotion regulation and cognition based on quantitative motivation. A detailed interactive situation for teaching words is proposed. In this study, we introduce one bottom-up collaboration method for emotion-cognition interplay and behaviour decision-making. Integration with gross emotion regulation theory lets the proposed system adapt to natural interactions between students and the robot in emotional interaction. Four key ideas are advocated, and they jointly set up a reinforcement emotion-cognition system (RECS). First, the quantitative motivation is grounded on external interactive sensory detection, which is affected by memory and preference. Second, the emotion generation triggered by an initial motivation such as external stimulus is also influenced by the state in the previous time. Third, the competitive and cooperative relationship between emotion and motivation intervenes to make the decision of emotional expression and teaching actions. Finally, cognitive reappraisal, the emotion regulation strategy, is introduced for the establishment of emotion transition combined with personalized cognition. We display that this RECS increases the robot emotional interactive performance and makes corresponding teaching decision through behavioural and statistical analysis. Hindawi 2019-05-02 /pmc/articles/PMC6525871/ /pubmed/31191634 http://dx.doi.org/10.1155/2019/8904389 Text en Copyright © 2019 Minjia Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Minjia
Xie, Lun
Zhang, Anqi
Ren, Fuji
Reinforcement Emotion-Cognition System: A Teaching Words Task
title Reinforcement Emotion-Cognition System: A Teaching Words Task
title_full Reinforcement Emotion-Cognition System: A Teaching Words Task
title_fullStr Reinforcement Emotion-Cognition System: A Teaching Words Task
title_full_unstemmed Reinforcement Emotion-Cognition System: A Teaching Words Task
title_short Reinforcement Emotion-Cognition System: A Teaching Words Task
title_sort reinforcement emotion-cognition system: a teaching words task
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6525871/
https://www.ncbi.nlm.nih.gov/pubmed/31191634
http://dx.doi.org/10.1155/2019/8904389
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AT xielun reinforcementemotioncognitionsystemateachingwordstask
AT zhanganqi reinforcementemotioncognitionsystemateachingwordstask
AT renfuji reinforcementemotioncognitionsystemateachingwordstask