Beyvers Marie C, Koch Iring, Fiehler Katja
Department of Experimental Psychology, Justus Liebig University Giessen, Germany.
Department of Cognitive and Experimental Psychology, University of Aachen, Germany.
J Cogn. 2022 Jul 14;5(1):41. doi: 10.5334/joc.234. eCollection 2022.
In everyday life humans are confronted with changing environmental demands. In order to act successfully and achieve intended goals, action control is required. A recent approach, the Binding and Retrieval in Action Control (BRAC) framework, attempts to provide an overarching perspective on action control. Based on basic principles such as binding and retrieval, findings from several experimental paradigms could be integrated. However, the focus so far has been on rather artificial paradigms involving very simple motor response requirements, like finger lifting or button presses. We aimed to extend the BRAC framework to more complex movements consisting of a sequence of several discrete actions. Participants were asked to grasp and lift an object with an uneven mass distribution. Object features, like mass distribution and position, were either kept constant on a global level or varied in a pseudorandomized manner. When both object features were kept constant, participants were able to adjust their grasp so that it resulted in a more stable lift and less object roll. Further, with randomly mixed object features, we found best task performance when both object features were completely repeated from one trial to the other. These results suggest that tasks with more complex movements are capable of reflecting principles of action control as defined by the BRAC framework. This offers the possibility to test these principles in even more complex and ecologically relevant paradigms to improve our understanding of everyday life actions.
在日常生活中，人类面临不断变化的环境需求。为了成功行动并实现预期目标，需要进行行动控制。一种最新的方法，即行动控制中的绑定与检索（BRAC）框架，试图提供一个关于行动控制的总体视角。基于诸如绑定和检索等基本原则，可以整合来自多个实验范式的研究结果。然而，迄今为止的重点一直是相当人为的范式，这些范式涉及非常简单的运动反应要求，如手指抬起或按键操作。我们旨在将BRAC框架扩展到由一系列离散动作组成的更复杂运动。要求参与者抓取并举起一个质量分布不均匀的物体。物体特征，如质量分布和位置，要么在全局层面保持不变，要么以伪随机方式变化。当两个物体特征都保持不变时，参与者能够调整他们的抓握方式，从而实现更稳定的举起动作且物体滚动更少。此外，对于随机混合的物体特征，我们发现当两个物体特征在一次试验到另一次试验中完全重复时，任务表现最佳。这些结果表明，具有更复杂运动的任务能够反映BRAC框架所定义的行动控制原则。这为在更复杂且与生态相关的范式中测试这些原则提供了可能性，以增进我们对日常生活行为的理解。
