TasksZE: A Task-Based and Challenge-Based Math Serious Game Using Facial Emotion Recognition

Serious games play a significant role in the teaching and learning process by focusing on educational objectives rather than purely on entertainment. By addressing specific educational needs, these games provide targeted learning experiences. The integration of emotion recognition technology into se...

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Main Authors: Humberto Marín-Vega, Giner Alor-Hernández, Maritza Bustos-López, Jonathan Hernández-Capistran, Norma Leticia Hernández-Chaparro, Sergio David Ixmatlahua-Diaz
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Future Internet
Subjects:
Online Access:https://www.mdpi.com/1999-5903/16/12/440
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author Humberto Marín-Vega
Giner Alor-Hernández
Maritza Bustos-López
Jonathan Hernández-Capistran
Norma Leticia Hernández-Chaparro
Sergio David Ixmatlahua-Diaz
author_facet Humberto Marín-Vega
Giner Alor-Hernández
Maritza Bustos-López
Jonathan Hernández-Capistran
Norma Leticia Hernández-Chaparro
Sergio David Ixmatlahua-Diaz
author_sort Humberto Marín-Vega
collection DOAJ
description Serious games play a significant role in the teaching and learning process by focusing on educational objectives rather than purely on entertainment. By addressing specific educational needs, these games provide targeted learning experiences. The integration of emotion recognition technology into serious games can further enhance teaching and learning by identifying areas where students may need additional support, The integration of emotion recognition into a serious game facilitates the learning of mathematics by allowing the identification of emotional impact on learning and the creation of a tailored learning experience for the student. This study proposes a challenge-based and task-based math serious game that integrates facial emotion recognition named TasksZE. TasksZE introduces a novel approach by adjusting gameplay based on detected emotions, which includes real-time emotion analysis and the cross-validation of emotions. We conducted a usability evaluation of the game using the System Usability Scale (SUS) as a reference, and the results indicate that the students feel that TasksZE is easy to use, the functions are well integrated, and most people can learn to use it very quickly. The students answered that they would use this system frequently since they felt motivated by game attributes, rewards, and level progression. These elements contributed to a more engaging and effective learning experience.
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spelling doaj-art-c85235f4d35d4f61ba61087c0da9f2ad2025-08-20T02:55:45ZengMDPI AGFuture Internet1999-59032024-11-01161244010.3390/fi16120440TasksZE: A Task-Based and Challenge-Based Math Serious Game Using Facial Emotion RecognitionHumberto Marín-Vega0Giner Alor-Hernández1Maritza Bustos-López2Jonathan Hernández-Capistran3Norma Leticia Hernández-Chaparro4Sergio David Ixmatlahua-Diaz5Tecnológico Nacional de México/Campus Zongolica, Km 4 Carretera a la Compañía S/N, Tepetitlanapa, Zongolica 95005, MexicoTecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9, No. 852, Col. Emiliano Zapata, Orizaba 94320, MexicoTecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9, No. 852, Col. Emiliano Zapata, Orizaba 94320, MexicoTecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9, No. 852, Col. Emiliano Zapata, Orizaba 94320, MexicoTecnológico Nacional de México/Campus Zongolica, Km 4 Carretera a la Compañía S/N, Tepetitlanapa, Zongolica 95005, MexicoTecnológico Nacional de México/Campus Zongolica, Km 4 Carretera a la Compañía S/N, Tepetitlanapa, Zongolica 95005, MexicoSerious games play a significant role in the teaching and learning process by focusing on educational objectives rather than purely on entertainment. By addressing specific educational needs, these games provide targeted learning experiences. The integration of emotion recognition technology into serious games can further enhance teaching and learning by identifying areas where students may need additional support, The integration of emotion recognition into a serious game facilitates the learning of mathematics by allowing the identification of emotional impact on learning and the creation of a tailored learning experience for the student. This study proposes a challenge-based and task-based math serious game that integrates facial emotion recognition named TasksZE. TasksZE introduces a novel approach by adjusting gameplay based on detected emotions, which includes real-time emotion analysis and the cross-validation of emotions. We conducted a usability evaluation of the game using the System Usability Scale (SUS) as a reference, and the results indicate that the students feel that TasksZE is easy to use, the functions are well integrated, and most people can learn to use it very quickly. The students answered that they would use this system frequently since they felt motivated by game attributes, rewards, and level progression. These elements contributed to a more engaging and effective learning experience.https://www.mdpi.com/1999-5903/16/12/440emotion recognitionmath learningserious games
spellingShingle Humberto Marín-Vega
Giner Alor-Hernández
Maritza Bustos-López
Jonathan Hernández-Capistran
Norma Leticia Hernández-Chaparro
Sergio David Ixmatlahua-Diaz
TasksZE: A Task-Based and Challenge-Based Math Serious Game Using Facial Emotion Recognition
Future Internet
emotion recognition
math learning
serious games
title TasksZE: A Task-Based and Challenge-Based Math Serious Game Using Facial Emotion Recognition
title_full TasksZE: A Task-Based and Challenge-Based Math Serious Game Using Facial Emotion Recognition
title_fullStr TasksZE: A Task-Based and Challenge-Based Math Serious Game Using Facial Emotion Recognition
title_full_unstemmed TasksZE: A Task-Based and Challenge-Based Math Serious Game Using Facial Emotion Recognition
title_short TasksZE: A Task-Based and Challenge-Based Math Serious Game Using Facial Emotion Recognition
title_sort tasksze a task based and challenge based math serious game using facial emotion recognition
topic emotion recognition
math learning
serious games
url https://www.mdpi.com/1999-5903/16/12/440
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AT jonathanhernandezcapistran taskszeataskbasedandchallengebasedmathseriousgameusingfacialemotionrecognition
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