Peephole Steering: Speed Limitation Models for Steering Performance in Restricted View Sizes

Shota Yamanaka, Hiroki Usuba, Haruki Takahashi, Homei Miyashita
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引用次数: 1

Abstract

The steering law is a model for predicting the time and speed for passing through a constrained path. When people can view only a limited range of the path forward, they limit their speed in preparation of possibly needing to turn at a corner. However, few studies have focused on how limited views affect steering performance, and no quantitative models have been established. The results of a mouse steering study showed that speed was linearly limited by the path width and was limited by the square root of the viewable forward distance. While a baseline model showed an adjusted R2 = 0.144 for predicting the speed, our best-fit model showed an adjusted R2 = 0.975 with only one additional coefficient, demonstrating a comparatively high prediction accuracy for given viewable forward distances.
Peephole转向:受限视图尺寸下转向性能的速度限制模型
转向规律是用于预测通过受约束路径的时间和速度的模型。当人们只能看到有限的前进道路时,他们会限制自己的速度,为可能需要在拐角处转弯做准备。然而,很少有研究关注有限的观点如何影响转向性能,也没有建立定量模型。鼠标操纵研究的结果表明,速度受到路径宽度的线性限制,并受到可视向前距离的平方根的限制。虽然基线模型显示用于预测速度的调整后的R2=0.144,但我们的最佳拟合模型显示仅具有一个附加系数的调整后R2=0.975,表明对于给定的可视前方距离具有相对较高的预测精度。
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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CiteScore
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