State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, PR China.
Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, PR China.
Neuroimage. 2023 Nov 15;282:120400. doi: 10.1016/j.neuroimage.2023.120400. Epub 2023 Oct 1.
Prediction on the partner's speech plays a key role in a smooth conversation. However, previous studies on this issue have been majorly conducted at the single-brain rather than dual-brain level, leaving the interpersonal prediction hypothesis untested. To fill this gap, this study combined a neurocomputational modeling approach with a natural conversation paradigm in which two salespersons persuaded a customer to buy their product with their haemodynamic signals being collected using functional near-infrared spectroscopy hyperscanning. First, the results showed a cognitive hierarchy in a natural conversation, with the lower-level process (i.e., pragmatic representation of the persuasion) in the salesperson interacting with the higher-level process (i.e., value representation of the product) in the customer. Next, we found that the right dorsal lateral prefrontal cortex (rdlPFC) and temporoparietal junction (rTPJ) were associated with the representation of the product's value in the customer, while the right inferior frontal cortex (rIFC) was associated with the representation of the pragmatic processes in the salesperson. Finally, neurocomputational modeling results supported the prediction of the salesperson's lower-level brain activity based on the customer's higher-level brain activity. Moreover, the updating weight of the prediction model based on the neural computation between the rIFC of the salesperson and the rTPJ of the customer was closely associated with the interaction context, whereas that based on the rIFC-rdlPFC was not. In summary, these findings provide initial support for the interpersonal prediction hypothesis at the dual-brain level and reveal a hierarchy for the interpersonal prediction process.
对伴侣言语的预测在流畅的对话中起着关键作用。然而，以前关于这个问题的研究主要是在单脑水平上进行的，而不是在双脑水平上进行的，这使得人际预测假说没有得到检验。为了填补这一空白，本研究结合了神经计算建模方法和自然对话范式，在该范式中，两名销售人员使用功能近红外光谱超扫描收集他们的血液动力学信号，说服客户购买他们的产品。首先，研究结果显示了自然对话中的认知层次结构，销售人员的较低层次过程（即说服的语用表现）与客户的较高层次过程（即产品的价值表现）相互作用。接下来，我们发现右侧背外侧前额叶皮层（rdlPFC）和颞顶联合区（rTPJ）与客户对产品价值的表示有关，而右侧额下回（rIFC）与销售人员语用过程的表示有关。最后，神经计算建模结果支持了根据客户的高级脑活动预测销售人员的低级脑活动的假设。此外，基于销售人员的 rIFC 和客户的 rTPJ 之间的神经计算的预测模型的更新权重与交互上下文密切相关，而基于 rIFC-rdlPFC 的预测模型的更新权重则不然。总之，这些发现为双脑水平上的人际预测假设提供了初步支持，并揭示了人际预测过程的层次结构。
