Autor según el artículo: Pegalajar, MC; Ruiz, LGB; Pérez-Moreiras, E; Boada-Grau, J; Serrano-Fernandez, MJ
Departamento: Psicologia
Autor/es de la URV: Boada Grau, Joan / Serrano Fernandez, Maria Jose
Palabras clave: Psychology Neural-networks Machine learning Flow Data mining Artificial neural networks work scale satisfaction psychology model flow data mining artificial neural networks
Resumen: The goal of this study is to estimate the state of consciousness known as Flow, which is associated with an optimal experience and can indicate a person’s efficiency in both personal and professional settings. To predict Flow, we employ artificial intelligence techniques using a set of variables not directly connected with its construct. We analyse a significant amount of data from psychological tests that measure various personality traits. Data mining techniques support conclusions drawn from the psychological study. We apply linear regression, regression tree, random forest, support vector machine, and artificial neural networks. The results show that the multi-layer perceptron network is the best estimator, with an MSE of 0.007122 and an accuracy of 88.58%. Our approach offers a novel perspective on the relationship between personality and the state of consciousness known as Flow.
Áreas temáticas: Management information systems Information systems Computer science, theory & methods Computer science, information systems Computer science, artificial intelligence Computer science applications Artificial intelligence
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: mariajose.serrano@urv.cat joan.boada@urv.cat
Identificador del autor: 0000-0003-0363-5522 0000-0002-1907-6887
Fecha de alta del registro: 2024-08-03
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.mdpi.com/2504-2289/7/2/67
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Big Data And Cognitive Computing. 7 (2): 67-
Referencia de l'ítem segons les normes APA: Pegalajar, MC; Ruiz, LGB; Pérez-Moreiras, E; Boada-Grau, J; Serrano-Fernandez, MJ (2023). An Intelligent Approach Using Machine Learning Techniques to Predict Flow in People. Big Data And Cognitive Computing, 7(2), 67-. DOI: 10.3390/bdcc7020067
DOI del artículo: 10.3390/bdcc7020067
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2023
Tipo de publicación: Journal Publications