Conducting collaborative tasks, e.g., multi-user game, in virtual reality (VR) could enable us to explore more immersive and effective experience. However, for current VR systems, users cannot communicate properly with each other via their gaze points, and this would interfere with users' mutual understanding of the intention. In this study, we aimed to find the optimal eye tracking data visualization , which minimized the cognitive interference and improved the understanding of the visual attention and intention between users. We designed three different eye tracking data visualizations: gaze cursor, gaze spotlight and gaze trajectory in VR scene for a course of human heart , and found that gaze cursor from doctors could help students learn complex 3D heart models more effectively. To further explore, two students as a pair were asked to finish a quiz in VR environment, with sharing gaze cursors with each other, and obtained more efficiency and scores. It indicated that sharing eye tracking data visualization could improve the quality and efficiency of collaborative work in the VR environment.

翻译：在虚拟现实（VR）环境中开展协作任务（如多用户游戏），能够让我们探索更具沉浸感与效率的体验。然而，当前VR系统下用户无法通过注视点进行有效沟通，这阻碍了用户对彼此意图的相互理解。本研究旨在探寻最优的眼动追踪数据可视化方案，以最小化认知干扰并提升用户间视觉注意与意图的理解。我们针对人体心脏课程设计了三种VR场景中的眼动追踪数据可视化形式：注视光标、注视聚光灯与注视轨迹，并发现医生提供的注视光标能更有效地帮助学生理解复杂的三维心脏模型。进一步探索中，我们要求两名学生结对在VR环境中完成测试题，通过相互共享注视光标，他们获得了更高的效率与分数。这表明共享眼动追踪数据可视化可提升VR环境中协作工作的质量与效率。