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Evaluating Factors Affecting Virtual Reality Display

机译:评估影响虚拟现实显示的因素

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Head Mounted Displays (HMDs) anecdotally exhibit a higher rate of cybersickness, motion-sickness like symptoms due to visual stimuli, than virtual reality systems that employ large screens. Yet, there have been relatively few multi-display studies, and frequently factors other than the display varied between conditions. We controlled for these additional factors in three experiments which considered HMDs weight, perceived screen size, and rendering mode. The HMD weight experiment had no effect on cybersickness, with p < 0.88. This is of benefit to HMD developers as it signifies that additional weight in the hardware is not cause for concern. While screen size and field of view (FOV) are often used interchangeably, the FOV has a strong effect independent of screen size. The perceived screen size experiment had no effect on cybersickness, with p < 0.66. This benefits cybersickness researchers, as it signifies that the results from monitor experiments can be compared directly with the results from large screen experiments, assuming the remaining factors are held constant. The rendering experiment, with stereo and mono rendering, had no effect on cybersickness, with p = 0.22. Since the HMD weight and screen size experiments used the same FOV, application, and navigation paradigm, they were compared for possible effects. Initially, we found a significant effect on cybersickness. After normalizing using the average change when a part of the real world is seen, such as in large screens, there is no longer a statistical difference (p < 0.77).
机译:头部安装的显示器(HMDS)缺点,由于采用大屏幕的虚拟现实系统,因此由于视觉刺激而具有较高的Cyber​​ickness率,致命症状,如症状。然而,已经存在相对较少的多显示研究,并且除了显示器之间的频繁因素不同。我们在三个实验中控制了这些额外因素,其考虑了HMDS重量,感知屏幕尺寸和渲染模式。 HMD重量实验对Cyber​​ickness没有影响,P <0.88。这对HMD开发人员有益,因为它表示硬件中的额外权重不会导致关注。虽然屏幕尺寸和视野(FOV)通常可互换使用,但FOV具有独立于屏幕尺寸的强烈效果。感知屏幕尺寸实验对Cyber​​ickness没有影响,P <0.66。这有利于Cyber​​ickness研究人员,因为它表示可以通过大屏幕实验的结果直接比较监测实验的结果,假设剩余因子保持恒定。具有立体声和单渲染的渲染实验对Cyber​​ickness没有影响,P = 0.22。由于HMD重量和屏幕尺寸实验使用了相同的FOV,应用和导航范式,因此可以进行比较可能的效果。最初,我们对Cyber​​ickness发现了显着影响。在使用平均变化的正常化之后,当看到一个现实世界的一部分时,例如在大屏幕中,不再存在统计差异(P <0.77)。

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