Scientists propose a model to predict personal learning performance for virtual reality-based safety training

In Korea, workers are being provided with virtual reality (VR)-based safety training content to mitigate the increase in occupational accidents. However, the current training evaluation methods suffer from a lack of immediate feedback from participants for personal learning performance evaluation. To address this, a team of researchers has now developed a new framework that uses real-time biometric data during VR training for improving personalized safety and preventing occupational hazards.

​In Korea, workers are being provided with virtual reality (VR)-based safety training content to mitigate the increase in occupational accidents. However, the current training evaluation methods suffer from a lack of immediate feedback from participants for personal learning performance evaluation. To address this, a team of researchers has now developed a new framework that uses real-time biometric data during VR training for improving personalized safety and preventing occupational hazards. In Korea, workers are being provided with virtual reality (VR)-based safety training content to mitigate the increase in occupational accidents. However, the current training evaluation methods suffer from a lack of immediate feedback from participants for personal learning performance evaluation. To address this, a team of researchers has now developed a new framework that uses real-time biometric data during VR training for improving personalized safety and preventing occupational hazards. 

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top