Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Alberto Carvalho, Waldir Moreira, Sousa, F & Machado Alexandre, I. (2025). VR Trainee: a Virtual Reality Training Tool for the Energy Industry. In 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). (pp. 1338-1339). Saint Malo, France: IEEE.
Exportar Referência (IEEE) 
A. Carvalho et al.,  "VR Trainee: a Virtual Reality Training Tool for the Energy Industry", in 2025 IEEE Conf. on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Saint Malo, France, IEEE, 2025, pp. 1338-1339
Exportar BibTeX 
@inproceedings{carvalho2025_1770116580624,
	author = "Alberto Carvalho and Waldir Moreira and Sousa, F and Machado Alexandre, I.",
	title = "VR Trainee: a Virtual Reality Training Tool for the Energy Industry",
	booktitle = "2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
	year = "2025",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/VRW66409.2025.00315",
	pages = "1338-1339",
	publisher = "IEEE",
	address = "Saint Malo, France",
	organization = ""
}
Exportar RIS 
TY  - CPAPER
TI  - VR Trainee: a Virtual Reality Training Tool for the Energy Industry
T2  - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
AU  - Alberto Carvalho
AU  - Waldir Moreira
AU  - Sousa, F
AU  - Machado Alexandre, I.
PY  - 2025
SP  - 1338-1339
DO  - 10.1109/VRW66409.2025.00315
CY  - Saint Malo, France
AB  - Operating hazardous machinery often requires comprehensive
training, which can be costly, time-consuming, and lead to delays.
To address these challenges, we introduce VR Trainee, a Virtual
Reality-based tool designed for electrical substation workers. VR
Trainee allows users to interact with objects in a safe, controlled
environment, enhancing training effectiveness for new maintenance
employees. Equipped with inertial sensors, it gathers data to provide
real-time feedback related to users’ actions. Initial validation
shows significant skill improvements, thanks to trial-and-error opportunities
and clear instructions. Our work demonstrates VR’s potential
to streamline learning and boost user motivation.
ER  -