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The Entropy of a Rapid Aimed Movement: Fitts' Index of Difficulty versus Shannon's Entropy

机译:快速瞄准运动的熵:Fitts难度系数与Shannon熵

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A thought experiment is proposed that reveals a difference between Fitts' index of difficulty and Shannon's entropy, in the quantification of the information content of a series of rapid aimed movements. This implies that the contemporary Shannon formulation of the index of difficulty is similar to, but not identical to, entropy. Preliminary work is reported toward developing a model that resolves the problem. Starting from first principles (information theory), a formulation for the entropy of a Fitts' law style rapid aimed movement is derived, that is similar in form to the traditional formulation. Empirical data from Fitts' 1954 paper are analysed, demonstrating that the new model fits empirical data as well as the current standard approach. The novel formulation is promising because it accurately describes human movement data, while also being derived from first principles (using information theory), thus providing insight into the underlying cause of Fitts' law.
机译:提出了一个思想实验,该实验揭示了Fitts的难度指数和Shannon的熵之间的差异,该指数在一系列快速目标运动的信息内容的量化中。这意味着难度指数的当代香农公式类似于但不等同于熵。据报告,为开发解决该问题的模型进行了初步工作。从第一原理(信息论)出发,得出了关于费茨法则式快速瞄准运动的熵的公式,其形式与传统公式类似。分析了Fitts 1954年论文中的经验数据,表明新模型与经验数据以及当前的标准方法都吻合。这种新颖的表述很有希望,因为它可以准确地描述人体运动数据,同时还可以从第一原理(使用信息论)中得出,从而可以洞悉菲茨定律的根本原因。

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