Resumen
The changing industrial world in which we find ourselves has forced companies to evolve technologically, restructuring their processes and improving their human resources skills. The acceptance by management of a fourth industrial revolution in transition to a fifth has led them to look for an economical way to stay updated and with the necessary skills to optimize their production chain. This work presents the development of virtual reality (VR) system for training in detecting faults in three-phase electric motors. A sample of 30 people was used, homogeneously divided into a control group and an experimental group. To evaluate the VR systems usability, the System Usability Scale (SUS) was used, obtaining an average value of 73.33, classifying the system as efficient for the proposed task. On the other hand, in terms of time and knowledge retention, the performance of this system was compared with the execution of a conventional one. For the training time, an optimization of 57.73% was obtained, while through a p-value of 0.000003, it was confirmed that this VR system provides a novel teaching methodology for the instruction and retention of technical knowledge.
Idioma original | Inglés |
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Título de la publicación alojada | 33rd European Modeling and Simulation Symposium, EMSS 2021 |
Editores | Michael Affenzeller, Agostino G. Bruzzone, Emilio Jimenez, Francesco Longo, Antonella Petrillo |
Editorial | Dime University of Genoa |
Páginas | 199-207 |
Número de páginas | 9 |
ISBN (versión digital) | 9788885741577 |
DOI | |
Estado | Publicada - 2021 |
Evento | 33rd European Modeling and Simulation Symposium, EMSS 2021 - Virtual, Online Duración: 15 sep. 2021 → 17 sep. 2021 |
Serie de la publicación
Nombre | 33rd European Modeling and Simulation Symposium, EMSS 2021 |
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Conferencia
Conferencia | 33rd European Modeling and Simulation Symposium, EMSS 2021 |
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Ciudad | Virtual, Online |
Período | 15/09/21 → 17/09/21 |
Nota bibliográfica
Publisher Copyright:© 2021 The Authors.