线性隧道变窄与加宽转向时间差的尺度效应

Shota Yamanaka, Homei Miyashita
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引用次数: 9

摘要

变窄与加宽直线隧道的转向时间差异;狭窄的隧道比宽阔的隧道需要更多的时间。最近提出了一种预测时差的模型IDGap,它显示出很好的拟合性。然而,运动和模型适应度的时差在有限范围内得到了证实。实验使用了一个13.3英寸的手写平板电脑,主要需要手腕运动和前臂伸展的特定水平。在本研究中,我们测试了两种隧道类型的转向时间差的尺度效应。在我们的实验中,参与者在五个尺度上进行转向操作,从整个21.5英寸的平板区域到1/12的尺度。结果总是显示时差,而传统的转向律并不适合。IDGap提高了适应度,从而证实了模型的有效性。本文还讨论了其他结果的尺度效应,包括错误率和性能指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scale Effects in the Steering Time Difference between Narrowing and Widening Linear Tunnels
Steering time differs between narrowing and widening linear tunnels; a narrowing tunnel requires more time to navigate than a widening one. A prediction model, IDGap, for the time difference has recently been proposed, and it shows an excellent fit. However, the time difference in movement and model fitness were confirmed on a limited scale. The experiment used a 13.3-inch pen tablet, which required primarily wrist movements with a particular level of forearm extension. In this study, we tested the scale effects in the steering time difference between the two tunnel types. In our experiment, participants performed steering operations at five scales, from the entire 21.5-inch tablet area to its 1/12-scale size. The results always showed the time difference, and the conventional steering law did not show a good fit. IDGap improved the fitness, thereby confirming the validity of the model. The scale effects for the other results, including error rates and index of performance, are also discussed.
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