Effects of scene density and richness on traveled distance estimation in virtual environments

T. Nguyen, J. Cremer, J. Kearney, J. Plumert
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引用次数: 6

Abstract

We conducted an experiment to examine the effects of scene density and richness on people's estimates of traveled distance. Participants wearing HMDs first experienced vision-only simulated self-motion over the distance of 65 meters in either a feature-dense scene (condition 1) or a sparse scene (condition 2), and then attempted to reproduce the same distance by physically walking with vision in a neutral virtual scene. We found that participants' estimates in the first condition were significantly shorter than those in the second condition. Furthermore, condition 1 estimates were significantly below the actual 65m travel distance, while condition 2 estimates did not differ significantly from 65m. The results suggest that scene feature density and richness affect traveled distance estimation.
虚拟环境中场景密度和丰富度对行进距离估计的影响
我们进行了一项实验来研究场景密度和丰富度对人们估计行进距离的影响。佩戴头戴式头盔的参与者首先在特征密集的场景(条件1)或稀疏的场景(条件2)中体验了仅视觉的模拟自我运动,距离为65米,然后试图通过在中性虚拟场景中进行视觉行走来重现相同的距离。我们发现,在第一种情况下,参与者的估计明显短于第二种情况。此外,条件1的估计值显著低于实际的65m旅行距离,而条件2的估计值与65m没有显著差异。结果表明,场景特征密度和丰富度会影响行驶距离的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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