We previously proposed a visual haptics technology which overlays visual images on the contact points of the remote machine hand with the augmented reality (AR) technology and demonstrated the effectiveness through in-house virtual reality (VR) experiments across multiple subjects. In this paper, we introduce our additional VR training/verification application of the remote machine system for an effective design and operation, to show more rigorous evaluation results of training effect by the proposed visual haptics through the analysis of brain wave signals. It is experimentally verified that our method can significantly reduce information flow in the brain analyzed by Smooth Coherence Transform (SCoT) and Cognitive Load Index (CLI) up to 34% and 43%, respectively. It suggests that the proposed visual haptics can contribute to improving the performance of our remote machine system by decreasing the task burden of user's manipulation.
