Enhancing Immersive Machine Operator Training through Cognitive Load Management and Scenario-Based Learning

Abstract

Immersive technology can be used to create better machine operator training experiences by providing enhanced learning experiences. The objective of this study was to explore the relationship between cognitive load management and scenario-based learning utilising virtual reality (VR), with an emphasis on how these technologies impact Operator Performance and Safety. The authors employed a mixed-methods approach to assess task performance for machine operators. In addition to identifying a 30% error rate decrease and a 25% increase in the time required to complete tasks when cognitive load was properly managed, participants demonstrated higher levels of engagement and confidence as a result of receiving personalised feedback. As such, the results of the study indicate that incorporating cognitive load management into both scenario-based training and virtual reality (VR) training programs will produce significant improvements in training efficacy and promote a safer, more productive workplace. Future studies are necessary to determine if there is long-term retention of skills learned in the context of VR training and whether the applications of VR training are limited to specific industries.

Keywords: Emotion-driven Design, Cognitive Load, Scenario-based Learning, Machine Operator Training, Immersive Learning

DOI: 10.54941/ahfe1007620