用等分法估计虚拟和真实环境中的距离

Bobby Bodenheimer, Jingjing Meng, Haojie Wu, G. Narasimham, B. Rump, T. McNamara, T. Carr, J. Rieser
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引用次数: 53

摘要

虚拟环境中距离判断的系统误差是虚拟环境感知研究中最有趣的问题之一。此错误的原因尚不清楚。本文提出了一个利用距离平分(分割)方法研究虚拟环境中距离感知的实验。其他大多数关于虚拟环境中距离感知的研究依赖于涉及运动反应或时间判断的测量。与这些不同,本研究中使用的方法完全取决于视觉感知的距离。我们的实验比较了虚拟环境中的距离对分判断、现实世界中的对分判断和有限视场的现实世界中的对分判断。我们还在两种环境背景下进行判断,室外环境和室内环境。我们发现非线性距离压缩发生在虚拟环境中,但在现实世界条件下的判断是准确的。我们没有发现环境背景的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distance estimation in virtual and real environments using bisection
Systematic error in judging distances in virtual environments is one of the most interesting problems in perceptual studies of virtual environments. The causes of this error are not known. This paper presents an experiment designed to investigate distance perception in virtual environments using the method of distance bisection (fractionation). Most other studies of distance perception in virtual environment rely on measures involving motor responses or time judgments. Unlike these, the method used in this study depends purely on visually perceived distances. Our experiment compares distance bisection judgments in virtual environments, bisection judgments in the real-world, and bisection judgments in the real-world with limited field of view. We also perform the judgments in two environmental contexts, an outdoor environment and an indoor environment. We find evidence that nonlinear distance compression occurs in virtual environments, but judgments in real-world conditions are accurate. We do not find an effect of environmental context.
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