PDF(Pubmed)
Abstract：
Groups often outperform individuals in problem-solving. Nevertheless, failure to critically evaluate ideas risks sub-optimal outcomes through so-called groupthink. Prior studies have shown that people who hold shared goals, perspectives or understanding of the environment show similar patterns of brain activity, which itself can be enhanced by consensus building discussions. Whether shared arousal alone can predict collective decision-making outcomes, however, remains unknown. To address this gap, we computed interpersonal heart rate synchrony, a peripheral index of shared arousal associated with joint attention, empathic accuracy and group cohesion, in 44 groups (n=204) performing a collective decision-making task. The task required critical examination of all available information to override inferior, default options and make the right choice. Using multi-dimensional recurrence quantification analysis (MdRQA) and machine learning, we found that heart rate synchrony predicted the probability of groups reaching the correct consensus decision with greater than 70% cross-validation accuracy-significantly higher than that predicted by the duration of discussions, subjective assessment of team function or baseline heart rates alone. We propose that heart rate synchrony during group discussion provides a biomarker of interpersonal engagement that facilitates adaptive learning and effective information sharing during collective decision-making.
摘要：
团体在解决问题方面往往胜过个人。然而,小组成员在讨论中未能批判性地评估想法可能会导致次优结果——这种现象被称为“群体思维”。虽然最近的研究发现人际生理同步与共同关注和群体凝聚力相关，它是否可以通过客观定义的绩效衡量来跟踪集体决策任务中的小组效能仍然存在争议。为了解决这个差距，我们收集了58组(n=271)的心率数据,这些组根据隐藏的配置文件模式执行任务.使用多维递归定量分析(MdRQA)和机器学习，我们发现,心率同步性预测了组超越群体思维并达成正确共识的概率,交叉验证准确率超过70%-显著高于仅通过对团队功能或基线心率的主观评估所预测的准确率.这些发现表明，自然小组讨论期间的心率同步可能是有效集体决策的生物标志物。
