VR中行人人群轨迹的感知真实感

D. Giunchi, Riccardo Bovo, Panayiotis Charalambous, F. Liarokapis, A. Shipman, Stuart James, A. Steed, T. Heinis
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引用次数: 1

摘要

人群仿真算法在虚拟现实(VR)环境中具有重要的作用。对于实时图像引擎来说,生成合理的轨迹可能是一项巨大的计算成本,特别是在便携式VR设备等非固定和移动设备中。之前的研究探讨了桌面电脑上人群模拟的合理性和真实性,但没有考虑到它对沉浸感的影响。本研究探讨了人群轨迹的现实性如何影响VR中的感知沉浸感。为此,我们进行了一项心理物理实验,让参与者对真实/合成轨迹数据的真实性进行评估,结果显示出相似的感知真实性水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perceived Realism of Pedestrian Crowds Trajectories in VR
Crowd simulation algorithms play an essential role in populating Virtual Reality (VR) environments with multiple autonomous humanoid agents. The generation of plausible trajectories can be a significant computational cost for real-time graphics engines, especially in untethered and mobile devices such as portable VR devices. Previous research explores the plausibility and realism of crowd simulations on desktop computers but fails to account the impact it has on immersion. This study explores how the realism of crowd trajectories affects the perceived immersion in VR. We do so by running a psychophysical experiment in which participants rate the realism of real/synthetic trajectories data, showing similar level of perceived realism.
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