CAVE Virtual Reality for Atmospheric Science

We are working with collaborators from the School of Engineering and the College of Agriculture, Food & Natural Resources to build up CAVE VR-based course modules for collaborative learning on the topic of atmospheric science.This immersive virtual reality (VR) system with a synchronized motion tracking system will enable foundational and applied research studies across multiple disciplines to gain a better understanding of decision making under complex situations involving human-machine interactions and learning in three-dimensional virtual reality datasets.