OntoUaffect: an ontology for affective states based on contexts in the educational environment
DOI:
https://doi.org/10.5753/rbie.2025.4585Keywords:
Contexts, Affetive computing, Affective states, OntologyAbstract
Human behavior is impacted by different phenomena that affect perception and interaction. In each culture, different words are used to describe how someone feels. Affective phenomena can provoke different physiological, cognitive, or behavioral reactions and can affect a person's actions and reactions. In the educational environment, affective phenomena are essential in learning and can impact motivation and attention. Thus, understanding the relationships of the affective state and the educational context can help in the identification of factors that negatively or positively impact the student. This article proposes the OntoUaffect ontology to represent information from affective states, the educational and personal context of the student. The ontology was developed using the Protégé software and the Python language. To evaluate the ontology, real data collected from high school students were used. From SPARQL consultations, it was possible to obtain results that answer the proposed questions of identification of the student's affective state in specific events, as well as the relationship of the variables of the educational context, demonstrating the contribution of the proposed ontology.
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Copyright (c) 2025 Sandro Oliveira Dorneles, Débora Nice Ferrari Barbosa, Rosemary Francisco, Jorge Luis Victória Barbosa
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