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The assessment method of foreign language communication ability of intelligent emotional network based on artificial emotion

The traditional evaluation methods of foreign language communication skills cannot deal with emotional information in the process of communication. Psychologists believe that a real personalized evaluation system should be smart. Based on the emotion network technology of artificial emotion intellig...

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Detalles Bibliográficos
Autor principal: Li, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530319/
https://www.ncbi.nlm.nih.gov/pubmed/36204772
http://dx.doi.org/10.3389/fpsyg.2022.975359
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author Li, Chen
author_facet Li, Chen
author_sort Li, Chen
collection PubMed
description The traditional evaluation methods of foreign language communication skills cannot deal with emotional information in the process of communication. Psychologists believe that a real personalized evaluation system should be smart. Based on the emotion network technology of artificial emotion intelligence, aiming at the shortcomings of the traditional evaluation system, this paper puts forward a new language ability evaluation system with certain emotion judgment function. The system can easily obtain and identify emotions in foreign communication, and can also carry out individual learning at the cognitive and emotional levels on the basis of comprehensive analysis of emotions and communication effects.
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spelling pubmed-95303192022-10-05 The assessment method of foreign language communication ability of intelligent emotional network based on artificial emotion Li, Chen Front Psychol Psychology The traditional evaluation methods of foreign language communication skills cannot deal with emotional information in the process of communication. Psychologists believe that a real personalized evaluation system should be smart. Based on the emotion network technology of artificial emotion intelligence, aiming at the shortcomings of the traditional evaluation system, this paper puts forward a new language ability evaluation system with certain emotion judgment function. The system can easily obtain and identify emotions in foreign communication, and can also carry out individual learning at the cognitive and emotional levels on the basis of comprehensive analysis of emotions and communication effects. Frontiers Media S.A. 2022-09-20 /pmc/articles/PMC9530319/ /pubmed/36204772 http://dx.doi.org/10.3389/fpsyg.2022.975359 Text en Copyright © 2022 Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Li, Chen
The assessment method of foreign language communication ability of intelligent emotional network based on artificial emotion
title The assessment method of foreign language communication ability of intelligent emotional network based on artificial emotion
title_full The assessment method of foreign language communication ability of intelligent emotional network based on artificial emotion
title_fullStr The assessment method of foreign language communication ability of intelligent emotional network based on artificial emotion
title_full_unstemmed The assessment method of foreign language communication ability of intelligent emotional network based on artificial emotion
title_short The assessment method of foreign language communication ability of intelligent emotional network based on artificial emotion
title_sort assessment method of foreign language communication ability of intelligent emotional network based on artificial emotion
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530319/
https://www.ncbi.nlm.nih.gov/pubmed/36204772
http://dx.doi.org/10.3389/fpsyg.2022.975359
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