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


Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
21 May 2024
Historique:
medline: 16 5 2024
pubmed: 16 5 2024
entrez: 16 5 2024
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 38753509
doi: 10.1073/pnas.2313801121
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2313801121

Déclaration de conflit d'intérêts

Competing interests statement:M.L.P. is a scientific advisory board member, consultant, and/or cofounder of Blue Horizons International, NeuroFlow, Amplio, Cogwear Technologies, Burgeon Labs, and Glassview, and receives research funding from AIIR Consulting, the SEB Group, Mars Inc., Slalom Inc., the Lefkort Family Research Foundation, Sisu Capital, and Benjamin Franklin Technology Partners. All other authors declare no competing interests.

Auteurs

K M Sharika (KM)

Department of Cognitive Science, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh 208016, India.

Swarag Thaikkandi (S)

Department of Cognitive Science, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh 208016, India.
Department of Material Science & Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh 208016, India.
Department of Theoretical Physics, University of Oxford, Oxford OX1 3PU, United Kingdom.

Michael L Platt (ML)

Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.
Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104.
Marketing Department, Wharton School of Business, University of Pennsylvania, Philadelphia, PA 19104.
Wharton Neuroscience Initiative, Wharton School of Business, University of Pennsylvania, Philadelphia, PA 19104.

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Classifications MeSH