Physiological Synchrony Predict Task Performance and Negative Emotional State during a Three-Member Collaborative Task
Open accessAbstract
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Much existing research on IPS has focused on contexts where individuals are explicitly instructed to perform a social task.
“Yet, to date, much of the existing research on IPS has focused on contexts where individuals are explicitly instructed to perform a social task.”
From Interpersonal Synchronization of Autonomic Physiology via Mere Visual Contact (2026) · cites this paper as [25]
Some studies found a positive relationship between physiological synchrony and task performance, others reported no relation, or even a detrimental effect.
“While some studies found a positive relationship, others reported no relation between the two, or even a detrimental effect of physiological synchrony on task performance (see also Algumaei et al. 2023).”
From Interpersonal Physiological Synchrony During Dyadic Joint Action Is Increased by Task Novelty and Reduced by Social Anxiety (2025) · cites this paper as Algumaei et al. 2023
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use
Electrophysiology, T. F. O. T. E. S. O. C. T. N. A. (1996) · Circulation · doi:10.1161/01.cir.93.5.1043 · Cited by 17,159 · see citing works
Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research
(1988) · Advances in Psychology · doi:10.1016/s0166-4115(08)62386-9 · Cited by 15,003 · see citing works
Recurrence plots for the analysis of complex systems
Marwan, N., Romano, M. C., Thiel, M., & Kurths, J. (2007) · Physics Reports · doi:10.1016/j.physrep.2006.11.001 · Cited by 3,836 · see citing works
Interpersonal autonomic physiology: a systematic review of the literature
Palumbo, R. V., Marraccini, M. E., Weyandt, L. L., Wilder-Smith, O., McGee, H. A., Liu, S., & Goodwin, M. S. (2017) · Personality and Social Psychology Review · doi:10.1177/1088868316628405 · Cited by 566 · see citing works
Influence of Mental Stress on Heart Rate and Heart Rate Variability
Taelman, J., Vandeput, S., Spaepen, A. J., & Huffel, S. V. (2009) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-540-89208-3_324 · Cited by 550 · see citing works
Recurrence based time series analysis by means of complex network methods
DONNER, R. V., SMALL, M., DONGES, J. F., MARWAN, N., ZOU, Y., XIANG, R., & KURTHS, J. (2011) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127411029021 · Cited by 423 · see citing works
Comparison of Four Subjective Workload Rating Scales
Hill, S. G., Iavecchia, H. P., Byers, J. C., Bittner, A. C., Zaklade, A. L., & Christ, R. E. (1992) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872089203400405 · Cited by 363 · see citing works
Moreland, R. L. (2010) · Small Group Research · doi:10.1177/1046496409358618 · Cited by 232 · see citing works
Wallot, S., & Mønster, D. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01679 · Cited by 224 · see citing works
Wallot, S., Mitkidis, P., McGraw, J. J., & Roepstorff, A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0168306 · Cited by 142 · see citing works
Wallot, S., Roepstorff, A., & Mønster, D. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01835 · Cited by 140 · see citing works
Physiological evidence of interpersonal dynamics in a cooperative production task
Mønster, D., Håkonsson, D. D., Eskildsen, J. K., & Wallot, S. (2016) · Physiology & Behavior · doi:10.1016/j.physbeh.2016.01.004 · Cited by 134 · see citing works
Hettiarachchi, I. T., Hanoun, S., Nahavandi, D., & Nahavandi, S. (2019) · PLoS ONE · doi:10.1371/journal.pone.0217288 · Cited by 121 · see citing works
Self-citationSocial–physiological compliance as a determinant of team performance
Henning, R. A., Boucsein, W., & Gil, M. C. (2001) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(00)00190-2 · Cited by 118 · see citing works
Physiological compliance and team performance
Elkins, A. N., Muth, E. R., Hoover, A. W., Walker, A. D., Carpenter, T. L., & Switzer, F. S. (2009) · Applied Ergonomics · doi:10.1016/j.apergo.2009.02.002 · Cited by 115 · see citing works
Physio-behavioral coupling in a cooperative team task: Contributors and relations.
Strang, A. J., Funke, G. J., Russell, S. M., Dukes, A. W., & Middendorf, M. S. (2013) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0033125 · Cited by 96 · see citing works
Physiological Linkage of Dyadic Gaming Experience
Järvelä, S., Kivikangas, J. M., Kätsyri, J., & Ravaja, N. (2014) · Simulation & Gaming · doi:10.1177/1046878113513080 · Cited by 86 · see citing works
Stickel, C., Ebner, M., Steinbach-Nordmann, S., Searle, G., & Holzinger, A. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02707-9_70 · Cited by 78 · see citing works
Fusaroli, R., Bjørndahl, J. S., Roepstorff, A., & Tylén, K. (2016) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/xhp0000207 · Cited by 76 · see citing works
Ekman, I., Chanel, G., Järvelä, S., Kivikangas, J. M., Salminen, M., & Ravaja, N. (2011) · Simulation & Gaming · doi:10.1177/1046878111422121 · Cited by 75 · see citing works
SinusCor: an advanced tool for heart rate variability analysis
Bartels, R., Neumamm, L. B. A., Peçanha, T., & Carvalho, A. R. (2017) · BioMedical Engineering OnLine · doi:10.1186/s12938-017-0401-4 · Cited by 72 · see citing works
Ahonen, L., Cowley, B. U., Hellas, A., & Puolamäki, K. (2018) · Scientific Reports · doi:10.1038/s41598-018-21518-3 · Cited by 70 · see citing works
What does physiological synchrony reveal about metacognitive experiences and group performance?
Dindar, M., Järvelä, S., & Haataja, E. (2020) · British Journal of Educational Technology · doi:10.1111/bjet.12981 · Cited by 70 · see citing works
Team Physiological Dynamics: A Critical Review
Kazi, S., Khaleghzadegan, S., Dinh, J., Shelhamer, M., Sapirstein, A., Goeddel, L. A., Chime, N. O., Eduardo Salas, A., & Rosen, M. A. (2019) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720819874160 · Cited by 66 · see citing works
Heart rate variability indices for very short-term (30 beat) analysis. Part 1: survey and toolbox
Smith, A.-L., Owen, H., & Reynolds, K. J. (2013) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-013-9471-4 · Cited by 60 · see citing works
Effects of performance feedback valence on perceptions of invested mental effort
Raaijmakers, S. F., Baars, M., Schaap, L., PAAS, F. G. W. C., & van Gog, T. (2016) · Learning and Instruction · doi:10.1016/j.learninstruc.2016.12.002 · Cited by 54 · see citing works
Being in a crowd bonds people via physiological synchrony
Pinto, G. B., Profeta, V. L. D. S., Newson, M., Whitehouse, H., & Xygalatas, D. (2022) · Scientific Reports · doi:10.1038/s41598-021-04548-2 · Cited by 48 · see citing works
Gordon, I., Wallot, S., & Berson, Y. (2021) · Psychophysiology · doi:10.1111/psyp.13857 · Cited by 45 · see citing works
Cognitive Collaboration Found in Cardiac Physiology: Study in Classroom Environment
Ahonen, L., Cowley, B. U., Torniainen, J., Ukkonen, A., Vihavainen, A., & Puolamäki, K. (2016) · PLoS ONE · doi:10.1371/journal.pone.0159178 · Cited by 40 · see citing works
Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data
Veerabhadrappa, R., Hettiarachchi, I. T., & Bhatti, A. (2021) · IEEE International Systems Conference (SysCon) · doi:10.1109/syscon48628.2021.9447059 · Cited by 20 · see citing works
Self-citationGaze Convergence Based Collaborative Performance Prediction in a 3-Member Joint Activity Setting
Veerabhadrappa, R., Hettiarachchi, I. T., & Bhatti, A. (2022) · 2020 IEEE International Systems Conference (SysCon) · doi:10.1109/syscon53536.2022.9773865 · Cited by 4 · see citing works
Self-citationVeerabhadrappa, R., Hettiarachchi, I. T., & Bhatti, A. (2022) · 2020 IEEE International Systems Conference (SysCon) · doi:10.1109/syscon53536.2022.9773860 · Cited by 2 · see citing works
Self-citationPhysiological Compliance during a Three Member Collaborative Computer Task
Algumaei, M. Y., Hettiarachchi, I. T., Veerabhadrappa, R., & Bhatti, A. (2022) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc53654.2022.9945208 · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [31]UR Data Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data CRC Press Boca Raton, FL, USA 2011
Cited by
Sorted by citations
Using interbrain synchrony to study teamwork: A systematic review and meta-analysis
Reveillé, C., Vergotte, G., Perrey, S., & Bosselut, G. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105593 · Cited by 32 · see citing works
Boukarras, S., Placidi, V., Rossano, F., Era, V., Aglioti, S. M., & Candidi, M. (2025) · Psychophysiology · doi:10.1111/psyp.70031 · Cited by 23 · see citing works
“While some studies found a positive relationship, others reported no relation between the two, or even a detrimental effect of physiological synchrony on task performance (see also Algumaei et al. 2023).”
Stuldreher, I. V., van Erp, J. B. F., & Brouwer, A.-M. (2023) · Sensors · doi:10.3390/s23063006 · Cited by 18 · see citing works
Algumaei, M. Y., Hettiarachchi, I. T., Farghaly, M., & Bhatti, A. (2023) · IEEE Access · doi:10.1109/access.2023.3332907 · Cited by 16 · see citing works
Self-citationPhysiological team dynamics explored: physiological synchrony in medical simulation training
Wespi, R., Neher, A. N., Birrenbach, T., Schauber, S. K., Frenkel, M. O., Schrom-Feiertag, H., Sauter, T. C., & Kämmer, J. E. (2025) · Advances in Simulation · doi:10.1186/s41077-025-00335-5 · Cited by 8 · see citing works
Correlates of interpersonal physiological synchrony and sources of empirical heterogeneity
Gordon, I., & Bartsch, R. P. (2026) · Nature Reviews Psychology · doi:10.1038/s44159-026-00535-4 · Cited by 12 · see citing works
Validity of the Polar H10 for Continuous Measures of Heart Rate and Heart Rate Synchrony Analysis
Chung, V., Chopin, L., Karadayi, J., & Grèzes, J. (2026) · Sensors · doi:10.3390/s26030855 · Cited by 7 · see citing works
Al-Ashwal, W., Asadi, H., Alsanwy, S., Qazani, M. R. C., Mohamed, S. M. K., & Nahavandi, S. (2024) · IEEE International Systems Conference (SysCon) · doi:10.1109/syscon61195.2024.10553536 · Cited by 6 · see citing works
Advancements in Sensors and Analyses for Emotion Sensing
Sato, W. (2024) · Sensors · doi:10.3390/s24134166 · Cited by 5 · see citing works
Gong, D., Yan, H., Wu, M., Wang, Y., Lei, Y., Wang, X., & Xiao, R. (2025) · Electronics · doi:10.3390/electronics14061129 · Cited by 4 · see citing works
Multimodal Physiological Responses Predict Advertisement Effectiveness
Han, J., Ni, Y., Amon, M. J., Necaise, A., Han, M., & Lee, M. (2025) · Journal of Advertising · doi:10.1080/00913367.2025.2524185 · Cited by 4 · see citing works
Schneider, B., Fang, X., Kang, S., Chejara, P., & Bu, J. (2025) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-025-09458-3 · Cited by 2 · see citing works
Physiological synchrony in brain and body as a measure of attentional engagement
Stuldreher, I. V. (2023) · doi:10.3990/1.9789036559379 · Cited by 1 · see citing works
Heart rate synchrony as an objective biomarker for therapy outcome in affective disordersPreprint
Gernert, C. C., Falkai, P., & Falter‐Wagner, C. M. (2024) · medRxiv · doi:10.1101/2024.08.29.24312787 · Cited by 1 · see citing works
Interpersonal Synchronization of Autonomic Physiology via Mere Visual Contact
Koul, A., & Novembre, G. (2026) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.70322 · Cited by 1 · see citing works
Bello, K., Azzam, I., Breidi, F., & Aqlan, F. (2026) · IISE Transactions on Occupational Ergonomics and Human Factors · doi:10.1080/24725838.2026.2645067
Yadav, A., & Mehta, R. K. (2026) · Applied Ergonomics · doi:10.1016/j.apergo.2026.104825
Why Great Teams Perform Well: Inter-Brain Synchrony, Psychophysiological Alignment, and Team Flow
Michael, M., Valencia, E., Kotler, S., & Requejo, G. (2026) · Springer eBooks · doi:10.1007/978-3-032-21528-4_10
Braun, J., Hogh, N., & Kubowitsch, S. (2026) · Small Group Research · doi:10.1177/10464964261481164
Villarreal, R. T., Funke, G. J., Tolston, M. T., & Yu, D. (2026) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208261494327
- 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)
- PMC
- PMC9960820
- 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
- gold
- doi.org
- Licence
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review