Mojzisch Andreas, Schilbach Leonhard, Helmert Jens R, Pannasch Sebastian, Velichkovsky Boris M, Vogeley Kai
Georg-August-University Göttingen, Göttingen, Germany.
Soc Neurosci. 2006;1(3-4):184-95. doi: 10.1080/17470910600985621.
Social neuroscience has shed light on the underpinnings of understanding other minds. The current study investigated the effect of self-involvement during social interaction on attention, arousal, and facial expression. Specifically, we sought to disentangle the effect of being personally addressed from the effect of decoding the meaning of another person's facial expression. To this end, eye movements, pupil size, and facial electromyographic (EMG) activity were recorded while participants observed virtual characters gazing at them or looking at someone else. In dynamic animations, the virtual characters then displayed either socially relevant facial expressions (similar to those used in everyday life situations to establish interpersonal contact) or arbitrary facial movements. The results show that attention allocation, as assessed by eye-tracking measurements, was specifically related to self-involvement regardless of the social meaning being conveyed. Arousal, as measured by pupil size, was primarily related to perceiving the virtual character's gender. In contrast, facial EMG activity was determined by the perception of socially relevant facial expressions irrespective of whom these were directed towards.
社会神经科学已经揭示了理解他人心智的基础。当前的研究调查了社交互动过程中自我卷入对注意力、唤醒水平和面部表情的影响。具体而言，我们试图区分被直接针对个人与解读他人面部表情含义这两种效应。为此，在参与者观察虚拟角色注视自己或看向其他人时，记录他们的眼动、瞳孔大小和面部肌电图（EMG）活动。在动态动画中，虚拟角色随后展示要么是具有社会相关性的面部表情（类似于日常生活中用于建立人际联系的表情），要么是随意的面部动作。结果表明，通过眼动追踪测量评估的注意力分配与自我卷入有特定关联，而与所传达的社会意义无关。通过瞳孔大小测量的唤醒水平主要与感知虚拟角色的性别有关。相比之下，面部EMG活动由对具有社会相关性的面部表情的感知决定，而不论这些表情是针对谁的。
