Abstract
Safety education and training are vital in the mining industry. However, traditional training relies on passive modalities, such as lectures, videos and brochures. These suffer from sever limitations - poor reproducibility, inefficient resource utilisation, and a lack of interactive feedback in one-size-fits-all training scenarios. Addressing these challenges, we introduce a novel hybrid approach combining virtual reality (VR) and electroencephalography (EEG) for training in the use of underground self-contained self-rescuers (SCSR). The VR component provides an interactive and immersive training experience, to facilitate a higher level of engagement compared to traditional methods. Initial EEG testing showed that VR training could elevate trainees’ brain activity, which may result in higher ratings and satisfaction. Beyond EEG we use also after-scenario questionnaire (ASQ) and system usability scale (SUS).
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Notes
- 1.
Longwall mining face is a form of underground coal mining where a long wall of coal is mined in a single slice.
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Chang, H., Pan, Z., Cristea, A.I. (2024). Virtual Reality (VR) in Safety Education: A Case Study of Mining Engineering. In: Olney, A.M., Chounta, IA., Liu, Z., Santos, O.C., Bittencourt, I.I. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2024. Communications in Computer and Information Science, vol 2151. Springer, Cham. https://doi.org/10.1007/978-3-031-64312-5_47
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DOI: https://doi.org/10.1007/978-3-031-64312-5_47
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