PDF(Pubmed)
Abstract：
Groups often outperform individuals in problem-solving. Nevertheless, failure to critically evaluate ideas risks suboptimal 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 multidimensional recurrence quantification analysis (MdRQA) and machine learning, we found that heart rate synchrony predicted the probability of groups reaching the correct consensus decision with >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，未能批判性地评估想法可能会通过所谓的群体思维导致次优结果。先前的研究表明，持有共同目标的人，观点，或者对环境的理解显示出类似的大脑活动模式，这本身可以通过建立共识的讨论得到加强。是否单独共享唤醒可以预测集体决策结果，然而,仍然未知。为了解决这个差距，我们计算了人际心率同步，与共同注意力相关的共享唤醒的外围指数，移情准确性，和团体凝聚力，在44组(n=204)中执行集体决策任务。这项任务要求对所有可用信息进行严格检查，以超越劣等信息，默认选项并做出正确的选择。使用多维递归定量分析(MdRQA)和机器学习，我们发现心率同步预测群体达成正确共识决策的概率>70%的交叉验证准确性-显著高于讨论持续时间所预测的。仅对团队功能或基线心率进行主观评估。我们建议小组讨论期间的心率同步提供了人际参与的生物标志物，可促进集体决策期间的自适应学习和有效的信息共享。
