Using a Virtual Serious Game (Deusto-e-motion1.0) to Assess the Theory of Mind in Primary School Children: Observational Descriptive Study.

children facial emotion recognition serious game theory of mind

Journal

JMIR serious games
ISSN: 2291-9279
Titre abrégé: JMIR Serious Games
Pays: Canada
ID NLM: 101645255

Informations de publication

Date de publication:
02 Apr 2020
Historique:
received: 28 11 2018
accepted: 14 06 2019
revised: 14 05 2019
entrez: 3 4 2020
pubmed: 3 4 2020
medline: 3 4 2020
Statut: epublish

Résumé

Given the interactive media characteristics and intrinsically motivating appeal, virtual serious games are often praised for their potential for assessment and treatment. This study aims to validate and develop normative data for a virtual serious game (Deusto-e-motion1.0) for the evaluation of emotional facial expression recognition and social skills, both of which are components of the theory of mind. A total of 1236 children took part in the study. The children were classified by age (8-12 years old), gender (males=639, females=597), and educational level (between the third and sixth years of Primary Education). A total of 10 schools from the Basque Country and 20 trained evaluators participated in this study. Differences were found in Deusto-e-motion1.0 scores between groups of children depending on age and gender. Moreover, there was a moderately significant correlation between the emotional recognition scores of Deusto-e-motion1.0 and those of the Feel facial recognition test. Deusto-e-motion1.0 shows concurrent validity with instruments that assess emotional recognition. Results support the adequacy of Deusto-e-motion1.0 in assessing components of the theory of mind in children.

Sections du résumé

BACKGROUND BACKGROUND
Given the interactive media characteristics and intrinsically motivating appeal, virtual serious games are often praised for their potential for assessment and treatment.
OBJECTIVE OBJECTIVE
This study aims to validate and develop normative data for a virtual serious game (Deusto-e-motion1.0) for the evaluation of emotional facial expression recognition and social skills, both of which are components of the theory of mind.
METHODS METHODS
A total of 1236 children took part in the study. The children were classified by age (8-12 years old), gender (males=639, females=597), and educational level (between the third and sixth years of Primary Education). A total of 10 schools from the Basque Country and 20 trained evaluators participated in this study.
RESULTS RESULTS
Differences were found in Deusto-e-motion1.0 scores between groups of children depending on age and gender. Moreover, there was a moderately significant correlation between the emotional recognition scores of Deusto-e-motion1.0 and those of the Feel facial recognition test.
CONCLUSIONS CONCLUSIONS
Deusto-e-motion1.0 shows concurrent validity with instruments that assess emotional recognition. Results support the adequacy of Deusto-e-motion1.0 in assessing components of the theory of mind in children.

Identifiants

pubmed: 32238330
pii: v8i2e12971
doi: 10.2196/12971
pmc: PMC7163419
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e12971

Informations de copyright

©Esther Lázaro, Imanol Amayra, Juan Francisco López-Paz, Oscar Martínez, Manuel Pérez Alvarez, Sarah Berrocoso, Mohammad Al-Rashaida, Maitane García, Paula Luna, Paula Pérez-Núñez, Alicia Aurora Rodriguez, Paula Fernández, Pamela Parada Fernández, Mireia Oliva-Macías. Originally published in JMIR Serious Games (http://games.jmir.org), 02.04.2020.

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Auteurs

Esther Lázaro (E)

University of Deusto, Bilbao, Spain.

Imanol Amayra (I)

University of Deusto, Bilbao, Spain.

Oscar Martínez (O)

University of Deusto, Bilbao, Spain.

Manuel Pérez Alvarez (M)

University of Deusto, Bilbao, Spain.

Sarah Berrocoso (S)

University of Deusto, Bilbao, Spain.

Mohammad Al-Rashaida (M)

University of Deusto, Bilbao, Spain.

Maitane García (M)

University of Deusto, Bilbao, Spain.

Paula Luna (P)

University of Deusto, Bilbao, Spain.

Paula Pérez-Núñez (P)

University of Deusto, Bilbao, Spain.

Alicia Aurora Rodriguez (AA)

University of Deusto, Bilbao, Spain.

Paula Fernández (P)

University of Deusto, Bilbao, Spain.

Pamela Parada Fernández (P)

University of Deusto, Bilbao, Spain.

Mireia Oliva-Macías (M)

University of Deusto, Bilbao, Spain.

Classifications MeSH