CuentosIE: can a chatbot about “tales with a message” help to teach emotional intelligence?

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Title: CuentosIE: can a chatbot about “tales with a message” help to teach emotional intelligence?
Authors: Ferrández, Antonio | Lavigne Cerván, Rocio | Peral, Jesús | Navarro Soria, Ignasi | Lloret, Ángel | Gil, David | Rocamora-Rodríguez, María C.
Research Group/s: Procesamiento del Lenguaje y Sistemas de Información (GPLSI) | Lucentia | Grupo de Investigación Integral en el Neurodesarrollo Típico y Atípico (GINTA) | Grupo de Investigación en Psicología Evolutiva y Criminología (GIPEC) | Arquitecturas Inteligentes Aplicadas (AIA) | Person-centred Care and Health Outcomes Innovation / Atención centrada en la persona e innovación en resultados de salud (PCC-HOI)
Center, Department or Service: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos | Universidad de Alicante. Departamento de Psicología Evolutiva y Didáctica | Universidad de Alicante. Departamento de Enfermería
Keywords: Chatbot | Psychology | Emotional intelligence | Natural language processing | Emotion classifier | Information retrieval
Issue Date: 29-Feb-2024
Publisher: PeerJ
Citation: PeerJ Computer Science. 2024, 10: e1866. https://doi.org/10.7717/peerj-cs.1866
Abstract: In this article, we present CuentosIE (TalesEI: chatbot of tales with a message to develop Emotional Intelligence), an educational chatbot on emotions that also provides teachers and psychologists with a tool to monitor their students/patients through indicators and data compiled by CuentosIE. The use of “tales with a message” is justified by their simplicity and easy understanding, thanks to their moral or associated metaphors. The main contributions of CuentosIE are the selection, collection, and classification of a set of highly specialized tales, as well as the provision of tools (searching, reading comprehension, chatting, recommending, and classifying) that are useful for both educating users about emotions and monitoring their emotional development. The preliminary evaluation of the tool has obtained encouraging results, which provides an affirmative answer to the question posed in the title of the article.
Sponsor: The research work conducted is part of the R&D projects “CORTEX: Conscious Text Generation” (PID2021-123956OB-I00), funded by MCIN/ AEI/10.13039/501100011033/ and the project “NL4DISMIS: Natural Language Technologies for dealing with dis- and misinformation with grant reference (CIPROM/2021/021)” funded by the Generalitat Valenciana. Furthermore, it has been funded by the BALLADEER project (PROMETEO/2021/088) from the Consellería Valenciana and by the AETHER-UA (PID2020-112540RB-C43) project from the Spanish Ministry of Science and Innovation.
URI: http://hdl.handle.net/10045/141209
ISSN: 2376-5992
DOI: 10.7717/peerj-cs.1866
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2024 Ferrández et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
Peer Review: si
Publisher version: https://doi.org/10.7717/peerj-cs.1866
Appears in Collections:INV - GINTA - Artículos de Revistas
INV - GIPEC - Artículos de Revistas
INV - AIA - Artículos de Revistas
INV - PCC-HOI - Artículos de Revistas
INV - LUCENTIA - Artículos de Revistas
INV - GPLSI - Artículos de Revistas

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