Cited by 20Emotion and Mood RecognitionTeam Dynamics and PerformanceHeart Rate Variability and Autonomic Control

Physiological Synchrony Predict Task Performance and Negative Emotional State during a Three-Member Collaborative Task

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Algumaei, Mohammed, Hettiarachchi, Imali, Veerabhadrappa, Rakesh, Bhatti, Asim·2023·Sensors

Abstract

Evaluation of team performance in naturalistic contexts has gained popularity during the last two decades. Among other human factors, physiological synchrony has been adopted to investigate team performance and emotional state when engaged in collaborative team tasks. A variety of methods have been reported to quantify physiological synchrony with a varying degree of correlation with the collaborative team task performance and emotional state, reflected in the inconclusive nature of findings. Little is known about the effect of the choice of synchrony calculation methods and the level of analysis on these findings. In this research work, we investigate the relationship between outcomes of different methods to quantify physiological synchrony, emotional state, and team performance of three-member teams performing a collaborative team task. The proposed research work employs dyadic-level linear (cross-correlation) and team-level non-linear (multidimensional recurrence quantification analysis) synchrony calculation measures to quantify task performance and the emotional state of the team. Our investigation indicates that the physiological synchrony estimated using multidimensional recurrence quantification analysis revealed a significant negative relationship between the subjectively reported frustration levels and overall task performance. However, no relationship was found between cross-correlation-based physiological synchrony and task performance. The proposed research highlights that the method of choice for physiological synchrony calculation has direct impact on the derived relationship of team task performance and emotional states.

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  1. [31]UR Data Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data CRC Press Boca Raton, FL, USA 2011

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Authors
Algumaei, M., Hettiarachchi, I., Veerabhadrappa, R., & Bhatti, A.
Affiliations
Deakin University (AU)
Corresponding author
Algumaei, Mohammed
Venue
Sensors
Publisher
MDPI AG
Published
2023-02-17
Volume
23
Issue
4
Pages
2268
ISSN
1424-8220 (ISSN-L)
OpenAlex
W4321377066
Cited by
20
References
34
Citations by year
2026: 8 · 2025: 5 · 2024: 4 · 2023: 3
FWCI
5.17
Type
journal article
Language
en
Open access
Locations
  • Sensors (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia and Defence Science Institute (DSI)
  • DSI Research Higher Degree (RHD) Student Grant
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
  • Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
Keywords
physiological synchrony, team performance, negative emotions, frustration, cross correlation function, recurrence quantification analysis, heart rate
MeSH terms
Emotions, Humans, Task Performance and Analysis

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