Roberts James W, Blinch Jarrod, Elliott Digby, Chua Romeo, Lyons James L, Welsh Timothy N
Motor Behaviour Laboratory, Department of Kinesiology, McMaster University, Hamilton, ON, L8S 4L8, Canada.
School of Kinesiology, University of British Columbia, Vancouver, BC, V6T 1Z1, Canada.
Exp Brain Res. 2016 Aug;234(8):2151-63. doi: 10.1007/s00221-016-4618-4. Epub 2016 Mar 15.
Fitts' Law holds that, to maintain accuracy, movement times of aiming movements must change as a result of varying degrees of movement difficulty. Recent evidence has emerged that aiming to a target located last in an array of placeholders results in a shorter movement time than would be expected by the Fitts' equation-a violation of Fitts' Law. It has been suggested that the violation emerges because the performer adopts an optimized movement strategy in which they partially pre-plan an action to the closest placeholder (undershoot the last placeholder) and rely on a secondary acceleration to propel the limb toward the last location when it is selected as the target (Glazebrook et al. in Hum Mov Sci 39:163-176, 2015). In the current study, we examine this proposal and further elucidate the processes underlying the violation by examining limb displacement and corrective submovements that occur when performers aim to different target locations. For our Main Study, participants executed discrete aiming movements in a five-placeholder array. We also reanalyzed data from a previously reported study in which participants aimed in placeholder and no-placeholder conditions (Blinch et al. in Exp Brain Res 223:505-515, 2012). The results showed the violation of Fitts' Law unfolded following peak velocity (online control). Further, the analysis showed that movements to the last target tended to overshoot and had a higher proportion of secondary submovements featuring a reversal than other categories of submovement (secondary accelerations, discontinuities). These findings indicate that the violation of Fitts' Law may, in fact, result from a strategic bias toward planning farther initial displacements of the limb which accommodates a shorter time in online control.
菲茨定律认为,为保持准确性,瞄准动作的运动时间必须因运动难度的不同程度而改变。最近有证据表明,瞄准一系列占位符中最后一个位置的目标时,其运动时间比菲茨方程预期的要短——这违反了菲茨定律。有人提出,这种违反现象的出现是因为执行者采用了一种优化的运动策略,即他们部分预先计划向最近的占位符的动作(未到达最后一个占位符),并在最后一个位置被选为目标时依靠二次加速将肢体推向该位置(格拉泽布鲁克等人,《人类运动科学》39:163 - 176,2015)。在当前的研究中,我们检验了这一观点,并通过研究执行者瞄准不同目标位置时发生的肢体位移和纠正性子动作,进一步阐明了这种违反现象背后的过程。在我们的主要研究中,参与者在一个有五个占位符的阵列中执行离散的瞄准动作。我们还重新分析了先前报道的一项研究中的数据,在该研究中参与者在有占位符和无占位符条件下进行瞄准(布林奇等人,《实验脑研究》223:505 - 515,2012)。结果表明,违反菲茨定律的现象在峰值速度之后出现(在线控制)。此外,分析表明,向最后一个目标的动作往往会超调,并且与其他类型的子动作(二次加速、不连续)相比,具有反向特征的二次子动作比例更高。这些发现表明,违反菲茨定律实际上可能是由于在规划肢体更远的初始位移时存在战略偏差,这在在线控制中节省了时间。