Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, UK.
Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, United States.
Sci Rep. 2019 Feb 25;9(1):2731. doi: 10.1038/s41598-019-39507-5.
Knowledge about a tool's dynamics can be acquired from the visual configuration of the tool and through physical interaction. Here, we examine how visual information affects the generalization of dynamic learning during tool use. Subjects rotated a virtual hammer-like object while we varied the object dynamics separately for two rotational directions. This allowed us to quantify the coupling of adaptation between the directions, that is, how adaptation transferred from one direction to the other. Two groups experienced the same dynamics of the object. For one group, the object's visual configuration was displayed, while for the other, the visual display was uninformative as to the dynamics. We fit a range of context-dependent state-space models to the data, comparing different forms of coupling. We found that when the object's visual configuration was explicitly provided, there was substantial coupling, such that 31% of learning in one direction transferred to the other. In contrast, when the visual configuration was ambiguous, despite experiencing the same dynamics, the coupling was reduced to 12%. Our results suggest that generalization of dynamic learning of a tool relies, not only on its dynamic behaviour, but also on the visual configuration with which the dynamics is associated.
有关工具动力学的知识可以通过工具的视觉配置和物理交互来获得。在这里,我们研究了视觉信息如何影响工具使用过程中动态学习的泛化。在我们分别改变两个旋转方向的物体动力学时,被试者旋转了一个类似锤子的虚拟物体。这使我们能够量化两个方向之间的适应耦合,即适应如何从一个方向转移到另一个方向。两组被试者体验到相同的物体动力学。对于一组被试者,物体的视觉配置显示出来,而对于另一组被试者,视觉显示与动力学无关。我们对数据进行了一系列基于上下文的状态空间模型拟合,比较了不同形式的耦合。我们发现,当明确提供物体的视觉配置时,会有大量的耦合,以至于一个方向上 31%的学习可以转移到另一个方向上。相比之下,当视觉配置模棱两可时,尽管经历了相同的动力学,耦合减少到 12%。我们的结果表明,工具动态学习的泛化不仅依赖于其动态行为,还依赖于与动力学相关的视觉配置。