Interpersonal heart rate synchrony predicts effective information processing in a naturalistic group decision-making task

• 成果类型: Article
• 署名作者: Sharika, K. M.; Thaikkandi, Swarag; Nivedita; Platt, Michael L.
• 署名单位: Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kanpur; Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kanpur; University of Oxford; University of Pennsylvania; University of Pennsylvania; University of Pennsylvania; University of Pennsylvania
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-10683
• DOI: 10.1073/pnas.2313801121
• 发表日期: 2024-05-21
• 关键词: unshared information; hidden profiles; physiological linkage; brain activity; group-size; empathy; individuals; exchange; arousal; systems

摘要

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.