论文标题
使用LQR指向鼠标指向的最佳控制模型
An Optimal Control Model of Mouse Pointing Using the LQR
论文作者
论文摘要
在本文中，我们探讨了线性季节调节器（LQR）以建模鼠标指针的运动。我们提出了一个模型，其中假定用户在某个成本功能方面表现最佳。用户通过同时最大程度地减少机芯的混蛋，试图将鼠标指针平滑和最小的努力最小化。我们从与鼠标的相互指向的数据集中识别模型的参数。我们将模型与来自12个用户的数据的经典最小值和二阶滞后模型进行了比较，总共有7702个动作。我们的结果表明，我们的方法比以前的任何一个模型中的任何一个都要好得多。
In this paper we explore the Linear-Quadratic Regulator (LQR) to model movement of the mouse pointer. We propose a model in which users are assumed to behave optimally with respect to a certain cost function. Users try to minimize the distance of the mouse pointer to the target smoothly and with minimal effort, by simultaneously minimizing the jerk of the movement. We identify parameters of our model from a dataset of reciprocal pointing with the mouse. We compare our model to the classical minimum-jerk and second-order lag models on data from 12 users with a total of 7702 movements. Our results show that our approach explains the data significantly better than either of these previous models.
