  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.
