OntoUaffect: una ontología de los estados afectivos a partir de contextos en el entorno educativo
DOI:
https://doi.org/10.5753/rbie.2025.4585Keywords:
Contextos, Computación afectiva, Estados afectivos, OntologíaAbstract
El comportamiento humano se ve afectado por diferentes fenómenos que afectan la percepción y la interacción. En cada cultura, se usan diferentes palabras para describir cómo se siente alguien. Los fenómenos afectivos pueden provocar diferentes reacciones fisiológicas, cognitivas o conductuales y pueden afectar las acciones y reacciones de una persona. En el ámbito educativo, los fenómenos afectivos son esenciales en el aprendizaje y pueden impactar en la motivación y la atención. Así, comprender las relaciones entre el estado afectivo y el contexto educativo puede ayudar en la identificación de factores que impactan negativa o positivamente en el estudiante. Este artículo propone la ontología OntoUaffect para representar la información de los estados afectivos, el contexto educativo y personal del estudiante. La ontología se desarrolló utilizando el software Protégé y el lenguaje Python. Para evaluar la ontología, se utilizaron datos reales recolectados de estudiantes de secundaria. A partir de las consultas SPARQL, fue posible obtener resultados que responden a las preguntas propuestas de identificación del estado afectivo del estudiante en eventos específicos, así como la relación de las variables del contexto educativo, demostrando el aporte de la ontología propuesta.
Descargas
Citas
Abaalkhail, R., Guthier, B., Alharthi, R., & El Saddik, A. (2018). Survey on ontologies for affective states and their influences Semantic web, 9(4), 441-458. https://doi.org/10.3233/SW-170270. [GS Search]
Álvarez, P., Zarazaga-Soria, F. J., & Baldassarri, S. (2020). Mobile music recommendations for runners based on location and emotions: The DJ-Running system. Pervasive and Mobile Computing, 67, 101242. https://doi.org/10.1016/j.pmcj.2020.101242. [GS Search]
Aranda, J. A. S., Bavaresco, R. S., de Carvalho, J. V., Yamin, A. C., Tavares, M. C., & Barbosa, J. L. V. (2021). A computational model for adaptive recording of vital signs through context histories. Journal of Ambient Intelligence and Humanized Computing, 1-15. https://doi.org/10.1007/s12652-021-03126-8. [GS Search]
Asinelli-Luz, A., Hickmann, A. A., & Hickmann, G. M. (2014). As relações interpessoais e as dimensões afetivas no processo ensino-aprendizagem. Linguagens, Educação e Sociedade, (31), 102-125. [link]. [GS Search]
Benta, K. I., Rarău, A., & Cremene, M. (2007, May). Ontology based affective context representation. In Proceedings of the 2007 Euro American conference on Telematics and information systems (pp. 1-9). https://doi.org/10.1145/1352694.1352741. [GS Search]
Chen, J., Yang, T., Huang, Z., Wang, K., Liu, M., & Lyu, C. (2023). Incorporating structured emotion commonsense knowledge and interpersonal relation into context-aware emotion recognition. Applied Intelligence, 53(4), 4201-4217. https://doi.org/10.1007/s10489-022-03729-4. [GS Search]
Dey, A. K. (2001). Understanding and using context. Personal and ubiquitous computing, 5, 4-7. https://doi.org/10.1007/s007790170019. [GS Search]
D'Mello, S., & Calvo, R. A. (2013). Beyond the basic emotions: what should affective computing compute?. In CHI'13 extended abstracts on human factors in computing systems (pp. 2287-2294). https://doi.org/10.1145/2468356.2468751. [GS Search]
Dupont, D., Barbosa, J. L. V., & Alves, B. M. (2020). CHSPAM: a multi-domain model for sequential pattern discovery and monitoring in contexts histories. Pattern Analysis and Applications, 23, 725-734. https://doi.org/10.1007/s10044-019-00829-9. [GS Search]
Ekman, P. (1992). An argument for basic emotions. Cognition & emotion, 6(3-4), 169-200. https://doi.org/10.1080/02699939208411068. [GS Search]
El Bolock, A., Herbert, C., & Abdennadher, S. (2020). CCOnto: towards an ontology-based model for character computing. In Research Challenges in Information Science: 14th International Conference, RCIS 2020, Limassol, Cyprus, September 23–25, 2020, Proceedings 14 (pp. 529-535). Springer International Publishing. https://doi.org/10.1007/978-3-030-50316-1_34 . [GS Search]
Filippetto, A. S., Lima, R., & Barbosa, J. L. V. (2021). A risk prediction model for software project management based on similarity analysis of context histories. Information and Software Technology, 131, 106497. https://doi.org/10.1016/j.infsof.2020.106497. [GS Search]
Francisco, R. (2020). Experience Sampling Method (ESM). Jaques, P. A.; Siqueira; S.; Bittencourt, Ig; P. M. (Orgs.) Metodologia de Pesquisa Científica em Informática na Educação: Abordagem Quantitativa. Porto Alegre. SBC. https://metodologia.ceie-br.org/livro-2. [GS Search]
Gil, R., Virgili-Gomá, J., García, R., & Mason, C. (2015). Emotions ontology for collaborative modelling and learning of emotional responses. Computers in Human Behavior, 51, 610-617. https://doi.org/10.1016/j.chb.2014.11.100. [GS Search]
Graterol, W., Diaz-Amado, J., Cardinale, Y., Dongo, I., Lopes-Silva, E., & Santos-Libarino, C. (2021). Emotion detection for social robots based on NLP transformers and an emotion ontology. Sensors, 21(4), 1322. https://doi.org/10.3390/s21041322. [GS Search]
Gu, T., Wang, X. H., Pung, H. K., & Zhang, D. Q. (2020). An ontology-based context model in intelligent environments. arXiv preprint arXiv:2003.05055. https://doi.org/10.48550/arXiv.2003.05055. [GS Search]
Kołakowska, A., Landowska, A., Szwoch, M., Szwoch, W., & Wróbel, M. R. (2015). Modeling emotions for affect-aware applications. Information Systems Development and Applications, 55-67. [GS Search]
Landowska, A. (2018). Towards new mappings between emotion representation models. Applied sciences, 8(2), 274. https://doi.org/10.3390/app8020274. [GS Search]
Li, B., & Sano, A. (2020). Extraction and interpretation of deep autoencoder-based temporal features from wearables for forecasting personalized mood, health, and stress. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(2), 1-26. https://doi.org/10.1145/3397318. [GS Search]
Martini, B. G., Helfer, G. A., Barbosa, J. L. V., Espinosa Modolo, R. C., da Silva, M. R., de Figueiredo, R. M., ... & Leithardt, V. R. Q. (2021). IndoorPlant: A model for intelligent services in indoor agriculture based on context histories. Sensors, 21(5), 1631. https://doi.org/10.3390/s21051631. [GS Search]
Mejbri, N., Essalmi, F., Jemni, M., & Alyoubi, B. A. (2022). Trends in the use of affective computing in e-learning environments. Education and Information Technologies, 1-23. https://doi.org/10.1007/s10639-021-10769-9. [GS Search]
Moore, P. (2017). Do We Understand the Relationship between Affective Computing, Emotion and Context-Awareness? MACHINES, 5(3), 16. MDPI. https://doi.org/10.3390/machines5030016. [GS Search]
Noy, N. F., & McGuinness, D. L. (2001). Ontology development 101: A guide to creating your first ontology. [GS Search]
Ortony, A., Clore, G. L., & Collins, A. (1990). The Cognitive Structure of Emotions. Cambridge University Press. [GS Search]
Picard, R. (1997). Affective computing. MIT Press. [GS Search]
Rentz, D. M., Heckler, W. F., & Barbosa, J. L. (2023). A computational model for assisting individuals with suicidal ideation based on context histories. Universal Access in the Information Society, 1-20. https://doi.org/10.1007/s10209-023-00991-2. [GS Search]
Rezende, P. A. A., Pereira, C. K., Campos, F., David, J. M. N., & Braga, R. (2015). PERSONNA: proposta de ontologia de contexto e perfil de alunos para recomendação de objetos de aprendizagem. Revista Brasileira de Informática na Educação, 23(01), 70. https://doi.org/10.5753/rbie.2015.23.01.70. [GS Search]
Rodrigues, F. C., Filippetto, A. S., Lima, R. K. D., Heckler, W. F., & Barbosa, J. L. V. (2022). Kairós: using context histories for predictions and recommendations in projects time management. International Journal of Agile Systems and Management, 15(1), 31-52. https://doi.org/10.1504/IJASM.2022.124168. [GS Search]
Rosa, J. H., Barbosa, J. L., Kich, M., & Brito, L. (2015). A multi-temporal context-aware system for competences management. International Journal of Artificial Intelligence in Education, 25, 455-492. https://doi.org/10.1007/s40593-015-0047-y. [GS Search]
Russell, J. A. (1980). A circumplex model of affect. Journal of personality and social psychology, 39(6), 1161. https://psycnet.apa.org/doi/10.1037/h0077714. [GS Search]
Sarmiento-Calisaya, E., Ccori, P. C., & Parari, A. C. (2022, January). An emotion-aware persuasive architecture to support challenging classroom situations. In 2022 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1-2). IEEE. https://doi.org/10.1109/ICCE53296.2022.9730567. [GS Search]
Scherer, K. R. (2000). Psychological models of emotion. Em J. C. Borod (Ed.), The neuropsychology of emotion (pp. 137-162). [GS Search]
Scherer, K. R. (2005). What are emotions? And how can they be measured? Social science information, 44(4), 695-729. https://doi.org/10.1177/0539018405058216. [GS Search]
Sezer, O. B., Dogdu, E., & Ozbayoglu, A. M. (2017). Context-aware computing, learning, and big data in internet of things: a survey. IEEE Internet of Things Journal, 5(1), 1-27. https://doi.org/10.1109/JIOT.2017.2773600. [GS Search]
Souza, J. C., Hickmann, A. A., Asinelli-Luz, A., & Hickmann, G. M. (2020). A influência das emoções no aprendizado de escolares. Revista Brasileira de Estudos Pedagógicos, 101, 382-403. https://doi.org/10.24109/2176-6681.rbep.101i258.4279. [GS Search]
Stancin, K., Poscic, P., & Jaksic, D. (2020). Ontologies in education–state of the art. Education and Information Technologies, 25(6), 5301-5320. https://doi.org/10.1007/s10639-020-10226-z. [GS Search]
Wang, Y., Song, W., Tao, W., Liotta, A., Yang, D., Li, X., ... & Zhang, W. (2022). A systematic review on affective computing: Emotion models, databases, and recent advances. Information Fusion, 83, 19-52. https://doi.org/10.1016/j.inffus.2022.03.009. [GS Search]
Zhang, X., Hu, B., Chen, J., & Moore, P. (2013). Ontology-based context modeling for emotion recognition in an intelligent web. World Wide Web, 16, 497-513. https://doi.org/10.1007/s11280-012-0181-5. [GS Search]
Archivos adicionales
Published
Cómo citar
Issue
Section
Licencia
Derechos de autor 2025 Sandro Oliveira Dorneles, Débora Nice Ferrari Barbosa, Rosemary Francisco, Jorge Luis Victória Barbosa
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
