Lai Shih-Chiung, Mayer-Kress Gottfried, Newell Karl M
Department of Exercise and Health Science, National Taipei College of Nursing, No. 365, Min Te Road, 112 Taipei, Taiwan.
J Mot Behav. 2006 Nov;38(6):451-66. doi: 10.3200/JMBR.38.6.451-466.
The authors investigated the effects of movement time and movement distance on the information entropy and variability of spatial and temporal error in a discrete aiming movement. In Experiment 1, the authors held movement distance (100 mm) constant and manipulated 11 movement times (300-800 ms) of 8 participants. In Experiment 2, the authors tested 6 movement distances at 2 given movement times (15-60 mm at 300 ms; 40-240 mm at 800 ms) in 8 participants. The variability and entropy for spatial error increased with average movement velocity, whereas the variability and entropy for temporal error decreased as a function of average movement velocity. The common variance between variable error and entropy averaged about 84% and 72% for spatial and temporal errors, respectively, suggesting that the probabilistic approach of entropy reveals features that are not present in the standard deviation index of variability. The findings provide further evidence that information entropy may be a useful single-index representation of variability in the movement speed-accuracy relation.
作者研究了离散瞄准运动中运动时间和运动距离对信息熵以及空间和时间误差变异性的影响。在实验1中,作者保持运动距离(100毫米)不变,对8名参与者的11个运动时间(300 - 800毫秒)进行了操控。在实验2中,作者在8名参与者中,针对2个给定的运动时间(300毫秒时为15 - 60毫米;800毫秒时为40 - 240毫米)测试了6个运动距离。空间误差的变异性和熵随平均运动速度增加,而时间误差 的变异性和熵则随平均运动速度降低。可变误差与熵之间的共同方差在空间误差和时间误差中分别平均约为84%和72%,这表明熵的概率方法揭示了变异性标准差指数中不存在的特征。这些发现进一步证明,信息熵可能是运动速度 - 准确性关系中变异性的一种有用的单指标表示。