Langolf G D, Chaffin D B, Foulke J A
a Department of Industrial and Operations Engineering , The University of Michigan.
J Mot Behav. 1976 Jun;8(2):113-28. doi: 10.1080/00222895.1976.10735061.
The relationship between Fitts' Index of Difficulty (ID = log2 2A/W) and movement time was investigated for finger, wrist, and whole arm motions over a wide range of movement distances (0.25 to 30.5 cm). Results supported Fitts' original speculation that various limb segments may show different maximum information processing rates. Short-distance finger and wrist motions showed much higher rates (38 and 23 bits/sec, respectively) than longer-distance arm motions (10 bits/sec). Examination of motion trajectories qualitatively supported a descriptive model whereby a visually mediated discrete-correction control process is used, as proposed by Crossman and Goodeve (Note 1) and Keele (1968). However, evidence of severe nonlinearities in the measured human movement responses did not support the use of linear control models in explaining the empirical validity of Fitts' law in predicting human motor performance.
研究了在广泛的运动距离(0.25至30.5厘米)范围内,菲茨难度指数(ID = log2 2A/W)与手指、手腕及整个手臂运动的运动时间之间的关系。结果支持了菲茨最初的推测,即不同肢体节段可能表现出不同的最大信息处理速率。短距离的手指和手腕运动显示出比长距离的手臂运动(10比特/秒)高得多的速率(分别为38和23比特/秒)。对运动轨迹的检查定性地支持了一种描述性模型,即如克罗斯曼和古迪夫(注释1)以及基尔(1968年)所提出的,采用视觉介导的离散校正控制过程。然而,实测的人体运动反应中存在严重非线性的证据并不支持使用线性控制模型来解释菲茨定律在预测人体运动表现方面的经验有效性。