Video
BibTex
@inproceedings{Yamanaka:2020:10.20380/GI2020.46,
author = {Yamanaka, Shota and Usuba, Hiroki and Takahashi, Haruki and Miyashita, Homei},
title = {Peephole Steering: Speed Limitation Models for Steering Performance in Restricted View Sizes},
booktitle = {Proceedings of Graphics Interface 2020},
series = {GI 2020},
year = {2020},
isbn = {978-0-9947868-5-2},
location = {University of Toronto},
pages = {461 -- 469},
numpages = {9},
doi = {10.20380/GI2020.46},
publisher = {Canadian Human-Computer Communications Society / Société canadienne du dialogue humain-machine},
}
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.