ARLS: An asymmetrical remote learning system for sharing anatomy between an HMD and a light field display
Published in 26th ACM Symposium on Virtual Reality Software and Technology, 2020
Abstract
VR remote learning is an environment-friendly approach for anatomy learning compared with the paper-based, physical model or prepared specimens. However, VR devices can potentially be costly pieces of equipment, and inexperienced users can experience unwanted symptoms like motion sickness. To solve these problems, an asymmetrical system has been developed to connect an experienced head-mounted-display user (lecturer) with light field display users (students) through the Internet. The scenes of lecturer's end and students' end are adjusted to match the corresponding displays technologies.
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Xuanhui Xu, Xingyu Pan, and Abraham G. Campbell. 2020. ARLS: An asymmetrical remote learning system for sharing anatomy between an HMD and a light field display. In Proceedings of the 26th ACM Symposium on Virtual Reality Software and Technology (VRST '20). Association for Computing Machinery, New York, NY, USA, Article 43, 1–2. https://doi.org/10.1145/3385956.3422095