重定向转弯检测阈值的估计

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Pub Date : 2019-03-23 DOI:10.1109/VR.2019.8797976

Junya Mizutani, Keigo Matsumoto, Ryohei Nagao, Takuji Narumi, T. Tanikawa, M. Hirose

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引用次数: 2

摘要

重定向使得在有限的真实空间中行走在广阔的虚拟空间中成为可能，同时通过在真实空间中应用增益来提供自然的行走感觉。然而，现有的方法无法实现在保持步行路径的同时对步行路径进行操纵，以及在转弯时保持步行的自然性。为了实现转弯的自然操纵，本研究提出了一种新的“转弯增益”，即真实转弯度和虚拟转弯度的增加。对转弯增益检测阈值进行估计的实验结果表明，当转弯半径为0.5 m时，与旋转增益$(r=0.0\ mathm {m})$相比，识别难度更大。

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Estimation of Detection Thresholds for Redirected Turning

Redirection makes it possible to walk around a vast virtual space in a limited real space while providing a natural walking sensation by applying a gain to the amount of movement in a real space. However, manipulating the walking path while keeping it and maintaining the naturalness of walking when turning at a corner cannot be achieved by the existing methods. To realize natural manipulation for turning at a corner, this study proposes novel “turning gains”, which refer to the increase in real and virtual turning degrees. The result of an experiment which aims to estimate the detection thresholds of turning gains indicated that when the turning radius is 0.5 m, discrimination is more difficult compared with the rotation gains $(r=0.0\mathrm{m})$.

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2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

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