Modeling Pen Steering Performance in a Single Constant-width Curved Path
Shota Yamanaka, and Homei Miyashita (Meiji University)
The 2019 ACM International Conference on Interactive Surfaces and Spaces（ACM ISS 2019), 2019/10
- For pen-steering tasks, the steering law can predict the movement time for both straight and circular paths. It has been shown, however, that those path shapes require different regression expression coefficients. Because it has also been shown that the path curvature (i.e., the inverse of the curvature radius) linearly decreases the movement speed, we refined the steering law to predict the movement time under various curvature radii; our pen-steering experiment included linear to circular shapes. The result showed that the proposed model had good fit for the empirical data: adjusted r^2 > 0.95, with the smallest Akaike information criterion (AIC) value among various candidate models. We also discuss how this refined model can contribute to other fields such as predicting driving difficulties.
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