Repositori institucional URV
| URV's Author/s: | Boada Grau, Joan / Serrano Fernandez, Maria Jose |
| Author, as appears in the article.: | Pegalajar, M C; Pegalajar, M C; Ruiz, L G B; Ruiz, L G B; Perez-Moreiras, E; Perez-Moreiras, E; Boada-Grau, J; Boada-Grau, J; Serrano-Fernandez, M J; Serrano-Fernandez, M J |
| Author's mail: | mariajose.serrano@urv.cat joan.boada@urv.cat |
| Author identifier: | 0000-0003-0363-5522 0000-0002-1907-6887 |
| Journal publication year: | 2023 |
| Publication Type: | Journal Publications |
| APA: | Pegalajar, M C; Pegalajar, M C; Ruiz, L G B; Ruiz, L G B; Perez-Moreiras, E; Perez-Moreiras, E; Boada-Grau, J; Boada-Grau, J; Serrano-Fernandez, M J; (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 |
| Paper original source: | Big Data And Cognitive Computing. 7 (2): 67- |
| Abstract: | 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. |
| Article's DOI: | 10.3390/bdcc7020067 |
| Link to the original source: | https://www.mdpi.com/2504-2289/7/2/67 |
| Paper version: | info:eu-repo/semantics/publishedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Psicologia |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Thematic Areas: | Management information systems Information systems Computer science, theory & methods Computer science, information systems Computer science, artificial intelligence Computer science applications Ciencias sociales Artificial intelligence |
| Keywords: | Psychology Neural-networks Machine learning Flow Data mining Artificial neural networks work scale satisfaction psychology model flow data mining artificial neural networks |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2025-02-17 |
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