School of Psychology, Bangor University, 355 Brigantia Building, Bangor, Gwynedd, Wales, LL57 2AS, UK.
Brain Imaging Center, Department of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, USA.
Psychon Bull Rev. 2019 Feb;26(1):305-314. doi: 10.3758/s13423-018-1510-1.
Action choices are influenced by recent past and predicted future action states. Here, we demonstrate that recent hand-choice history affects both current hand choices and response times to initiate actions. Participants reach to contact visible targets using one hand. Hand choice is biased in favour of which hand was used recently, in particular, when the biomechanical costs of responding with either hand are similar, and repeated choices lead to reduced response times. These effects are also found to positively correlate. Participants who show strong effects of recent history on hand choice also tend to show strong effects of recent history on response times. The data are consistent with a computational efficiency interpretation whereby repeated action choices confer computational gains in the efficiency of underpinning processes. We discuss our results within the framework of this model, and with respect to balancing predicted gains and losses, and speculate about the possible underlying mechanisms in neural terms.
动作选择受到近期过去和预测未来动作状态的影响。在这里,我们证明近期手选择历史会影响当前的手选择和开始动作的反应时间。参与者使用一只手伸手去接触可见的目标。手的选择偏向于最近使用的手,特别是当用任何一只手做出反应的生物力学成本相似时,并且重复选择会导致反应时间减少。这些影响也被发现呈正相关。在手选择上表现出强烈的近期历史影响的参与者,在手选择上也表现出强烈的近期历史影响。数据与计算效率解释一致,即重复的动作选择为支持过程的效率提供了计算上的收益。我们在该模型的框架内以及关于平衡预测的收益和损失方面讨论了我们的结果,并从神经学角度推测了可能的潜在机制。