Department of Psychological and Brain Sciences, University of Massachusetts Amherst.
Institute of Cognitive Science, University of Colorado Boulder.
J Exp Psychol Hum Percept Perform. 2024 Aug;50(8):785-807. doi: 10.1037/xhp0001210. Epub 2024 May 16.
When learning a novel visuomotor mapping (e.g., mirror writing), accuracy can improve quickly through explicit, knowledge-based learning (e.g., aim left to go right), but after practice, implicit or procedural learning takes over, producing fast, natural movements. This procedural learning occurs automatically, whereas it has recently been found that knowledge-based learning can be suppressed by the gradual introduction of the novel mapping when participants must make fast movements and visuomotor perturbations are small (e.g., 30° rotations). We explored the range of task instructions, perturbation parameters, and feedback that preclude or encourage this suppression. Using a reaching task with a rotation between screen position and movement direction, we found that knowledge-based learning could be suppressed even for an extreme 90° rotation, but only if it was introduced gradually and only under instructions to move quickly. If the rotation was introduced abruptly or if instructions emphasized accuracy over speed, knowledge-based learning occurred. A second experiment indicated that knowledge-based learning always occurred in the absence of continuous motion feedback, evidenced by the time course of learning, the aftereffects of learning when the rotation was abruptly removed, and the outcome of formal model comparison between a dual-state (procedural and knowledge-based) versus a single-state (procedural only) learning model of the data. A third experiment replicated the findings and verified that the knowledge-based component of the dual-state model corresponded to explicit aiming, whereas the procedural component was slow to unlearn. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
当学习新的视动映射(例如,镜像书写)时,通过明确的基于知识的学习(例如,向左瞄准以向右移动)可以快速提高准确性,但在练习之后,内隐或程序性学习会接管,产生快速、自然的运动。这种程序性学习是自动发生的,而最近发现,当参与者必须快速运动且视动干扰较小时(例如 30°旋转),基于知识的学习可以通过逐渐引入新的映射来抑制。我们探讨了排除或鼓励这种抑制的任务指令、扰动参数和反馈的范围。使用具有屏幕位置和运动方向之间旋转的伸展任务,我们发现,即使对于极端的 90°旋转,也可以抑制基于知识的学习,但前提是它是逐渐引入的,并且仅在快速运动的指令下。如果旋转是突然引入的,或者指令强调速度而不是准确性,则会发生基于知识的学习。第二个实验表明,基于知识的学习总是在没有连续运动反馈的情况下发生,这可以从学习的时间进程、旋转突然移除时学习的后效以及对数据的双状态(程序性和基于知识的)与单状态(仅程序性)学习模型之间的正式模型比较中得到证明。第三个实验复制了这些发现,并验证了双状态模型的基于知识的部分对应于明确的瞄准,而程序性部分则难以遗忘。(PsycInfo 数据库记录(c)2024 APA,保留所有权利)。