This study delves into the intricacies of emotional contagion and its impact on performance within dyadic interactions. Specifically, it focuses on the context of stereotype-based stress (SBS) during collaborative problem-solving tasks among female pairs. Through an exploration of emotional contagion, this study seeks to unveil its underlying mechanisms and effects. Leveraging EEG-based hyperscanning technology, we introduced an innovative approach known as the functional Graph Contrastive Learning (fGCL), which extracts subject-invariant representations of neural activity patterns from feedback trials. These representations are further subjected to analysis using the Dynamic Graph Classification (DGC) model, aimed at dissecting the process of emotional contagion along three independent temporal stages. The results underscore the substantial role of emotional contagion in shaping the trajectories of participants' performance during collaborative tasks in the presence of SBS conditions. Overall, our research contributes invaluable insights into the neural underpinnings of emotional contagion, thereby enriching our comprehension of the complexities underlying social interactions and emotional dynamics.

翻译：本研究深入探讨了二元互动中情绪感染的复杂性及其对表现的影响，特别聚焦于女性配对协作解决问题任务中刻板印象压力（SBS）的情境。通过对情绪感染的探索，本研究旨在揭示其潜在机制与作用。利用基于脑电图（EEG）的超扫描技术，我们提出了一种创新方法——功能图对比学习（fGCL），该方法可从反馈试验中提取神经活动模式的被试不变表征。这些表征进一步通过动态图分类（DGC）模型进行分析，旨在沿三个独立的时间阶段剖析情绪感染过程。结果强调了在SBS条件下，情绪感染对塑造协作任务中参与者表现轨迹的重要作用。总体而言，我们的研究为情绪感染的神经基础提供了宝贵见解，从而丰富了对社会互动与情绪动态复杂性的理解。