OntoUaffect: uma ontologia para estados afetivos baseada em contextos no ambiente educacional
DOI:
https://doi.org/10.5753/rbie.2025.4585Keywords:
Contextos, Computação afetiva, Estados afetivos, OntologiaAbstract
O comportamento humano é impactado por diferentes fenômenos que afetam a percepção e interação. Em cada cultura são usadas diferentes palavras para descrever como alguém se sente. Os fenômenos afetivos podem provocar diferentes reações fisiológicas, cognitivas ou comportamentais podendo afetar ações e reações de uma pessoa. No ambiente educacional os fenômenos afetivos são essenciais na aprendizagem, podendo impactar a motivação e a atenção. Dessa forma, entender as relações do estado afetivo e o contexto educacional pode auxiliar na identificação de fatores que impactam de forma negativa ou positiva o aluno. Este artigo propõe a ontologia OntoUaffect para representar informações de estados afetivos, o contexto educacional e pessoal do aluno. A ontologia foi desenvolvida utilizando o software Protégé e a linguagem Python. Para avaliação da ontologia foram utilizados dados reais coletados com alunos do ensino médio. A partir de consultas SPARQL foi possível obter resultados que respondem as questões propostas de identificação do estado afetivo do aluno em eventos específicos, assim como a relação das variáveis de contexto educacional, demonstrando a contribuição da ontologia proposta.
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Copyright (c) 2025 Sandro Oliveira Dorneles, Débora Nice Ferrari Barbosa, Rosemary Francisco, Jorge Luis Victória Barbosa
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
