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

Shota Yamanaka, Hiroki Usuba, Haruki Takahashi, Homei Miyashita

Keywords: Steering law, graphical user interfaces, motor performance modeling, Fitts' law, anticipation strategy

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 R^2 = 0.144 for predicting the speed, our best-fit model showed an adjusted R^2 = 0.975 with only one additional coefficient, demonstrating a comparatively high prediction accuracy for given viewable forward distances.