Resumen
One of the main objectives of virtual reality (VR) is to simplify human resource interactions with equipment once a process is in operation, especially in the case of techniques that are related and whose devices communicate with each other. VR allows operators to become familiar with the production environment and the process in a tangible way during training, making them aware of the context where they will be working, both the physical space and the contingencies that may arise. This paper presents an immersive training module for detecting and correcting faults in induction motors. Two groups were considered for testing the effectiveness of the developed system: a control group and an experimental group. The tests showed that with this technology, the teaching-learning process time is optimized by more than 50%. In addition, with a p-value lower than the selected alpha level, it was confirmed that the use of VR, in this case, is more efficient than the use of conventional training methodologies. Finally, the usability of the proposal was evaluated, concluding that, although the system has several areas for improvement, it is beneficial for the industry.
Idioma original | Inglés |
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Título de la publicación alojada | CSEI |
Subtítulo de la publicación alojada | International Conference on Computer Science, Electronics and Industrial Engineering (CSEI) - Advances and Applications in Computer Science, Electronics and Industrial Engineering. Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2022 |
Editores | Marcelo V. Garcia, Carlos Gordón-Gallegos |
Editorial | Springer Science and Business Media Deutschland GmbH |
Páginas | 478-493 |
Número de páginas | 16 |
ISBN (versión impresa) | 9783031305917 |
DOI | |
Estado | Publicada - 2023 |
Evento | International Conference on Computer Science, Electronics, and Industrial Engineering, CSEI 2022 - Ambato, Ecuador Duración: 7 nov. 2022 → 11 nov. 2022 |
Serie de la publicación
Nombre | Lecture Notes in Networks and Systems |
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Volumen | 678 LNNS |
ISSN (versión impresa) | 2367-3370 |
ISSN (versión digital) | 2367-3389 |
Conferencia
Conferencia | International Conference on Computer Science, Electronics, and Industrial Engineering, CSEI 2022 |
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País/Territorio | Ecuador |
Ciudad | Ambato |
Período | 7/11/22 → 11/11/22 |
Nota bibliográfica
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.