Fitts's law facilitates approximate comparisons of target acquisition performance across a variety of settings. Conceptually, also the index of difficulty of 3D object manipulation with six degrees of freedom can be computed, which allows the comparison of results from different studies. Prior experiments, however, often revealed much worse performance than one would reasonably expect on this basis. We argue that this discrepancy stems from confounding variables and show how Fitts's law and related research methods can be applied to isolate and identify relevant factors of motor performance in 3D manipulation tasks. The results of a formal user study (n=21) demonstrate competitive performance in compliance with Fitts's model and provide empirical evidence that simultaneous 3D rotation and translation can be beneficial.

中文翻译：

---

关于虚拟3D对象操纵中的电机性能。

菲茨定律有助于在各种情况下对目标获取性能进行近似比较。从概念上讲，还可以计算具有六个自由度的3D对象操纵的难度指数，从而可以比较不同研究的结果。但是，先前的实验通常显示出比在此基础上合理预期的要差的性能。我们认为这种差异源于混淆变量，并说明了Fitts定律和相关研究方法如何可用于隔离和识别3D操作任务中运动性能的相关因素。正式的用户研究（n = 21）的结果证明了符合Fitts模型的竞争性能，并提供了经验证据，表明同时进行3D旋转和平移可能是有益的。