Current Virtual Reality (VR) input devices make it possible to navigate a virtual environment and record immersive, personalized data regarding the user's movement and specific behavioral habits, which brings the question of the user's privacy concern to the forefront. In this article, the authors propose to investigate Machine Learning driven learning algorithms that try to learn with human users co-operatively and can be used to countermand existing privacy concerns in VR but could also be extended to Augmented Reality (AR) platforms.

翻译：当前虚拟现实（VR）输入设备使得用户能够导航虚拟环境，并记录其移动方式和特定行为习惯等沉浸式个性化数据，这使隐私问题成为关注焦点。本文中，作者提出研究基于机器学习的协作式学习算法，该类算法尝试与人类用户协同学习，不仅可用于缓解VR中现有的隐私问题，还可扩展至增强现实（AR）平台。