Slifkin Andrew B, Eder Jeffrey R
Department of Psychology, Cleveland State University, 2121 Euclid Avenue, Cleveland, OH 44115, USA.
Department of Psychology, Cleveland State University, 2121 Euclid Avenue, Cleveland, OH 44115, USA.
Acta Psychol (Amst). 2017 Mar;174:89-100. doi: 10.1016/j.actpsy.2017.01.008. Epub 2017 Feb 16.
According to dominant theories of motor control, speed and accuracy are optimized when, on the average, movement endpoints are located at the target center and when the variability of the movement endpoint distributions is matched to the width of the target (viz., Meyer, Abrams, Kornblum, Wright, & Smith, 1988). The current study tested those predictions. According to the speed-accuracy trade-off, expanding the range of variability to the amount permitted by the limits of the target boundaries allows for maximization of movement speed while centering the distribution on the target center prevents movement errors that would have occurred had the distribution been off center. Here, participants (N=20) were required to generate 100 consecutive targeted hand movements under each of 15 unique conditions: There were three movement amplitude requirements (80, 160, 320mm) and within each there were five target widths (5, 10, 20, 40, 80mm). According to the results, it was only at the smaller target widths (5, 10mm) that movement endpoint distributions were centered on the target center and the range of movement endpoint variability matched the range specified by the target boundaries. As target width increased (20, 40, 80mm), participants increasingly undershot the target center and the range of movement endpoint variability increasingly underestimated the variability permitted by the target region. The degree of target center undershooting was strongly predicted by the difference between the size of the target and the amount of movement endpoint variability, i.e., the amount of unused space in the target. The results suggest that participants have precise knowledge of their variability relative to that permitted by the target, and they use that knowledge to systematically reduce the travel distance to targets. The reduction in travel distance across the larger target widths might have resulted in greater cost savings than those associated with increases in speed.
根据运动控制的主流理论,当平均而言运动终点位于目标中心,且运动终点分布的变异性与目标宽度相匹配时(即Meyer、Abrams、Kornblum、Wright和Smith,1988年),速度和准确性可得到优化。本研究对这些预测进行了检验。根据速度-准确性权衡,将变异性范围扩大到目标边界限制所允许的程度,可使运动速度最大化,而将分布以目标中心为中心,则可防止分布偏离中心时可能出现的运动误差。在此,要求参与者(N = 20)在15种独特条件下,每种条件下连续进行100次有目标的手部运动:有三种运动幅度要求(80、160、320毫米),每种幅度要求下又有五种目标宽度(5、10、20、40、80毫米)。根据结果,只有在较小的目标宽度(5、10毫米)下,运动终点分布才以目标中心为中心,且运动终点变异性范围与目标边界规定的范围相匹配。随着目标宽度增加(20、40、80毫米),参与者越来越多地未达到目标中心,且运动终点变异性范围越来越低估目标区域所允许的变异性。目标中心未达到的程度可由目标大小与运动终点变异性量之间的差异强烈预测,即目标中未使用空间的量。结果表明,参与者相对于目标所允许的变异性,对自身变异性有精确的了解,并且他们利用该知识来系统地减少到达目标的行进距离。跨越较大目标宽度时行进距离的减少可能比与速度增加相关的节省成本更大。