Abstract
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.
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Acknowledgement
The authors would like to thank all the volunteers who participated in the experiments. This work was supported in part by the National Natural Science Foundation of China under Grant 62172368, 61772468, and the Natural Science Foundation of Zhejiang Province under Grant LR22F020003.
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Zhao, S., Cheng, S., Zhu, C. (2023). 3D Gaze Vis: Sharing Eye Tracking Data Visualization for Collaborative Work in VR Environment. In: Sun, Y., et al. Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2022. Communications in Computer and Information Science, vol 1682. Springer, Singapore. https://doi.org/10.1007/978-981-99-2385-4_46
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DOI: https://doi.org/10.1007/978-981-99-2385-4_46
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