School of Psychology, Bangor University, Wales.
Psychol Sci. 2013 Aug;24(8):1446-55. doi: 10.1177/0956797612472203. Epub 2013 Jun 6.
During face-to-face interactions, people reciprocate their conversation partners' genuine and polite smiles with matching smiles. In the research reported here, we demonstrated that predictive mechanisms play a role in this behavior. In natural interactions (Study 1), participants anticipated a substantial proportion of genuine smiles but almost no polite ones. We propose that reinforcement-learning mechanisms underpin this social prediction and that smile-reciprocity differences arise because genuine smiles are more rewarding than polite smiles. In Study 2, we tested this idea using a learning task in which correct responses were rewarded with genuine or polite smiles. We measured participants' smile reactions with electromyography (EMG). As in natural interactions, people mimicked polite smiles reactively, after seeing them appear. Interestingly, the EMG data showed predictive responding to genuine smiles only. These results demonstrate that anticipating social rewards drives predictive social responding and therefore represent a significant advance in understanding the mechanisms that underpin the neural control of real-world social behavior.
在面对面的互动中,人们会以相应的微笑回应对方真诚和礼貌的微笑。在本研究报告中,我们证明了预测机制在这种行为中发挥了作用。在自然互动中(研究 1),参与者预计会有相当一部分真诚的微笑,但几乎没有礼貌的微笑。我们提出,强化学习机制是这种社会预测的基础,并且微笑互惠差异的出现是因为真诚的微笑比礼貌的微笑更有回报。在研究 2 中,我们使用学习任务来检验这个想法,在这个任务中,正确的反应会得到真诚或礼貌的微笑作为奖励。我们用肌电图(EMG)来测量参与者的微笑反应。与自然互动一样,人们在看到礼貌的微笑出现后会做出反应性的模仿。有趣的是,EMG 数据仅显示了对真诚微笑的预测反应。这些结果表明,预测社会奖励会驱动预测性的社会反应,因此代表了对理解支持真实世界社会行为神经控制的机制的重大进展。