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Comparing Techniques for Visualizing Moving Out-of-View Objects in Head-mounted Virtual Reality

机译:在头戴式虚拟现实中可视化移动视野外对象的比较技术

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Current head-mounted displays (HMDs) have a limited field-of-view (FOV). A limited FOV further decreases the already restricted human visual range and amplifies the problem of objects receding from view (e.g., opponents in computer games). However, there is no previous work that investigates how to best perceive moving out-of-view objects on head-mounted displays. In this paper, we compare two visualization approaches: (1) Overview+detail, with 3D Radar, and (2) Focus+context, with EyeSee360, in a user study to evaluate their performances for visualizing moving out-of-view objects. We found that using 3D Radar resulted in a significantly lower movement estimation error and higher usability, measured by the system usability scale. 3D Radar was also preferred by 13 out of 15 participants for visualization of moving out-of-view objects.
机译:当前的头戴式显示器(HMD)具有有限的视野(FOV)。有限的FOV进一步减小了已经受限制的人类视觉范围,并扩大了物体从视线中退缩的问题(例如,计算机游戏中的对手)。但是,没有以前的工作来研究如何最好地感知头戴式显示器上的视线外物体。在本文中,我们在用户研究中比较了两种可视化方法:(1)3D Radar的Overview + detail,以及Eyeeye360的Eye2 360 Focus + context,以评估其可视化移动视野外对象的性能。我们发现,使用3D Radar可以显着降低运动估计误差,并提高系统的可用性(以系统可用性规模衡量)。在15个参与者中,有13个参与者更喜欢使用3D雷达来可视化移动视野外的对象。

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