Center for Sensorimotor Research, Institute of Clinical Neurosciences, Ludwig-Maximilian University Munich, Germany.
PLoS One. 2012;7(6):e39637. doi: 10.1371/journal.pone.0039637. Epub 2012 Jun 27.
Recent findings in neuroscience suggest an overlap between brain regions involved in the execution of movement and perception of another's movement. This so-called "action-perception coupling" is supposed to serve our ability to automatically infer the goals and intentions of others by internal simulation of their actions. A consequence of this coupling is motor interference (MI), the effect of movement observation on the trajectory of one's own movement. Previous studies emphasized that various features of the observed agent determine the degree of MI, but could not clarify how human-like an agent has to be for its movements to elicit MI and, more importantly, what 'human-like' means in the context of MI. Thus, we investigated in several experiments how different aspects of appearance and motility of the observed agent influence motor interference (MI). Participants performed arm movements in horizontal and vertical directions while observing videos of a human, a humanoid robot, or an industrial robot arm with either artificial (industrial) or human-like joint configurations. Our results show that, given a human-like joint configuration, MI was elicited by observing arm movements of both humanoid and industrial robots. However, if the joint configuration of the robot did not resemble that of the human arm, MI could longer be demonstrated. Our findings present evidence for the importance of human-like joint configuration rather than other human-like features for perception-action coupling when observing inanimate agents.
神经科学的最新研究发现,参与运动执行和感知他人运动的大脑区域之间存在重叠。这种所谓的“动作感知耦合”被认为是我们通过对他人动作的内部模拟来自动推断他人的目标和意图的能力的基础。这种耦合的一个结果是运动干扰(MI),即观察到的动作对自己动作轨迹的影响。先前的研究强调了观察到的主体的各种特征决定了 MI 的程度,但无法阐明主体的拟人化程度必须达到什么程度才能引起 MI,更重要的是,在 MI 的背景下,“拟人化”意味着什么。因此,我们在几个实验中研究了观察到的主体的外观和运动的不同方面如何影响运动干扰(MI)。参与者在水平和垂直方向上进行手臂运动,同时观察人类、人形机器人或具有人工(工业)或类人关节配置的工业机器人手臂的视频。我们的结果表明,在具有类人关节配置的情况下,通过观察人形机器人和工业机器人的手臂运动可以引起 MI。然而,如果机器人的关节配置不像人类手臂,那么就不能再引起 MI。我们的发现证明了在观察无生命物体时,类人关节配置而不是其他类人特征对于感知-动作耦合的重要性。