An Unsupervised Learning Methodology for Increasing Human Productivity via VR Training

In recent years the mining industry has witnessed a steady drop in productivity. This decline has been driven by a number of factors such as inefficient workforce. Some of the reasons for workforce concerns are inexperienced workers associated with inadequate training protocols for increasing task-specific human abilities. In this study, we propose an unsupervised machine learning (ML) methodology for increasing human productivity in the mining industry via Virtual Reality (VR) training sessions. Our results reported an increase in average productivity performance for operators that are below the desired production level, which can potentially lead to significant margins of profit as well as provide a safer working environment.