Physiological evidence of interpersonal dynamics in a cooperative production task
Open accessAbstract
Recent research suggests that shared behavioral dynamics during interpersonal interaction are indicative of subjective and objective outcomes of the interaction, such as feelings of rapport and success of performance. The role of shared physiological dynamics to quantify interpersonal interaction, however, has received comparatively little attention. In the present study, we investigate the coordination dynamics of multiple psychophysiological measures and their utility in capturing emotional dynamics in teams. We use data from an experiment where teams of three people built origami boats together in an assembly-line manner while their heart rate, skin conductance, and facial muscle activity were recorded. Our results show that physiological synchrony of skin conductance measures and eletromyographic measures of the corrugator supercilii develops spontaneously among team members during this cooperative production task. Moreover, high team synchrony is found indicative of team cohesion, while low team synchrony is found indicative of a teams' decision to adopt a new behavior across multiple production sessions. We conclude that team-level measures of synchrony offer new and complementary information compared to measures of individual levels of physiological activity.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
In 51 triads building origami boats, synchrony of facial muscle activity (smiling) was positively associated with group cohesion.
“Furthermore, synchrony of skin conductance was associated with group tension and negative affect, whereas synchrony of facial muscle activity (smiling) was positively associated with group cohesion51.”
From Physiological and Behavioral Synchrony Predict Group Cohesion and Performance (2020) · cites this paper as [51]
In 51 triads building origami boats, synchrony of skin conductance was associated with group tension and negative affect.
“Furthermore, synchrony of skin conductance was associated with group tension and negative affect, whereas synchrony of facial muscle activity (smiling) was positively associated with group cohesion51.”
From Physiological and Behavioral Synchrony Predict Group Cohesion and Performance (2020) · cites this paper as [51]
Cites
Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334 · cited 1× · see citing works
“These measures were chosen for two reasons: In the original study, we were interested in capturing physiological correlates of arousal (skin conductance and heart rate) and valence (zygomaticus major and currogator supercilii EMG) as two main components of affect [29, 30].”
BackgroundDetecting strange attractors in turbulence
Takens, F. (1981) · Lecture Notes in Mathematics · doi:10.1007/bfb0091924 · Cited by 10,459 · cited 1× · see citing works
“This is done by the method of time-delayed embedding [44, 45].”
MethodPackard, N. H., Crutchfield, J. P., Farmer, J. D., & Shaw, R. S. (1980) · Physical Review Letters · doi:10.1103/physrevlett.45.712 · Cited by 3,909 · 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
The ripple effect: emotional contagion and its influence on group behavior
Barsade, S. G. (2002) · Administrative Science Quarterly · doi:10.2307/3094912 · Cited by 3,361 · see citing works
Looking at pictures: Affective, facial, visceral, and behavioral reactions
LANG, P. J., GREENWALD, M. K., BRADLEY, M. M., & HAMM, A. O. (1993) · Psychophysiology · doi:10.1111/j.1469-8986.1993.tb03352.x · Cited by 3,190 · see citing works
Autonomic nervous system activity in emotion: a review
Kreibig, S. D. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2010.03.010 · Cited by 3,188 · cited 1× · see citing works
“, heart rate, skin conductance, pupillary dilation, and facial electromyography [13-16].”
BackgroundAutonomic nervous system activity distinguishes among emotions
Ekman, P., Levenson, R. W., & Friesen, W. V. (1983) · Science · doi:10.1126/science.6612338 · Cited by 2,692 · see citing works
Nonlinear Time Series Analysis
Kantz, H., & Schreiber, T. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511755798 · Cited by 2,669 · see citing works
Nonlinear Time Series Analysis
(2005) · Technometrics · doi:10.1198/tech.2005.s306 · Cited by 2,108 · see citing works
Mauss, I. B., & Robinson, M. D. (2009) · Cognition and Emotion · doi:10.1080/02699930802204677 · Cited by 2,078 · see citing works
Heart rate variability as an index of regulated emotional responding
Appelhans, B. M., & Luecken, L. J. (2006) · Review of General Psychology · doi:10.1037/1089-2680.10.3.229 · Cited by 1,893 · see citing works
Guidelines for Human Electromyographic Research
Fridlund, A. J., & Cacioppo, J. T. (1986) · Psychophysiology · doi:10.1111/j.1469-8986.1986.tb00676.x · Cited by 1,737 · see citing works
Wiltermuth, S. S., & Heath, C. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2008.02253.x · Cited by 1,717 · see citing works
Publication Recommendations for Electrodermal Measurements
Fowles, D. C., Christie, M. J., Edelberg, R., Grings, W. W., Lykken, D. T., & Venables, P. H. (1981) · Psychophysiology · doi:10.1111/j.1469-8986.1981.tb03024.x · Cited by 1,700 · see citing works
Dynamical assessment of physiological systems and states using recurrence plot strategies
Webber, C. L., & Zbilut, J. P. (1994) · Journal of Applied Physiology · doi:10.1152/jappl.1994.76.2.965 · Cited by 1,429 · see citing works
It's All in the Timing: Interpersonal Synchrony Increases Affiliation
Hove, M. J., & Risen, J. L. (2009) · Social Cognition · doi:10.1521/soco.2009.27.6.949 · Cited by 1,334 · cited 1× · see citing works
“Controlled laboratory studies have shown that mimicry and synchronization of behavior leads to prosocial behavior [20], increased cooperation [11,12], increased affiliation [21], and rapport [22].”
BackgroundPublication recommendations for electrodermal measurements
Society for Psychophysiological Research Ad Hoc Committee on Electrodermal Measures (2012) · Psychophysiology · doi:10.1111/j.1469-8986.2012.01384.x · Cited by 1,288 · see citing works
Embeddings and delays as derived from quantification of recurrence plots
Zbilut, J. P., & Webber, C. L. (1992) · Physics Letters A · doi:10.1016/0375-9601(92)90426-m · Cited by 1,130 · see citing works
Emotion and the motivational brain
Lang, P. J., & Bradley, M. M. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2009.10.007 · Cited by 1,006 · see citing works
Natural selective attention: Orienting and emotion
Bradley, M. M. (2009) · Psychophysiology · doi:10.1111/j.1469-8986.2008.00702.x · Cited by 976 · see citing works
Functional Accounts of Emotions
Keltner, D. J., & Gross, J. J. (1999) · Cognition & Emotion · doi:10.1080/026999399379140 · Cited by 876 · see citing works
Marital interaction: Physiological linkage and affective exchange.
Levenson, R. W., & Gottman, J. M. (1983) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.45.3.587 · Cited by 855 · cited 3× · see citing works
“A notable early study that investigated affective changes at short time-scales is Gottman and Levenson [8] who pioneered a method to study the dynamics of affective interactions using both self-report and physiological measures, but at the time the methods to properly quantify such effects had not yet been developed.”
BackgroundLarsen, J. T., Norris, C. J., & Cacioppo, J. T. (2003) · Psychophysiology · doi:10.1111/1469-8986.00078 · Cited by 766 · see citing works
Mimicry and Prosocial Behavior
van Baaren, R. B., Holland, R. W., Kawakami, K., & van Knippenberg, A. (2004) · Psychological Science · doi:10.1111/j.0963-7214.2004.01501012.x · Cited by 683 · see citing works
The Collective Construction of Work Group Moods
Bartel, C. A., & Saavedra, R. (2000) · Administrative Science Quarterly · doi:10.2307/2667070 · Cited by 678 · see citing works
Richardson, D. C., & Dale, R. (2005) · Cognitive Science · doi:10.1207/s15516709cog0000_29 · Cited by 641 · see citing works
Synchronized arousal between performers and related spectators in a fire-walking ritual
Konvalinka, I., Xygalatas, D., Bulbulia, J., Schjødt, U., Jegindø, E.-M., Wallot, S., Van Orden, G., & Roepstorff, A. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016955108 · Cited by 632 · cited 2× · see citing works
“The failure of heart rate synchrony to reveal such effects, this may be because our task was not strongly arousing as compared to other research that showed heart rate synchronization [9].”
BackgroundResultSelf-citationDigital Signal Processing: A Practical Guide for Engineers and Scientists
Smith, S. W. (2002) · doi:10.1016/b978-0-7506-7444-7.x5036-5 · Cited by 609 · see citing works
Kane, A. A., Argote, L., & Levine, J. M. (2004) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2004.09.002 · Cited by 594 · see citing works
Social Connection Through Joint Action and Interpersonal Coordination
Marsh, K. L., Richardson, M. J., & Schmidt, R. C. (2009) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2009.01022.x · Cited by 584 · see citing works
Psychological Research on Joint Action
Knoblich, G., Butterfill, S., & Sebanz, N. (2011) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/b978-0-12-385527-5.00003-6 · Cited by 546 · see citing works
Mandryk, R. L., & Atkins, M. S. (2007) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.11.011 · Cited by 538 · see citing works
The rhythm of joint action: synchrony promotes cooperative ability.
Valdesolo, P., Ouyang, J., & DeSteno, D. (2010) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2010.03.004 · Cited by 521 · cited 1× · see citing works
“Controlled laboratory studies have shown that mimicry and synchronization of behavior leads to prosocial behavior [20], increased cooperation [11,12], increased affiliation [21], and rapport [22].”
BackgroundBasic emotions are associated with distinct patterns of cardiorespiratory activity
Rainville, P., Bechara, A., Naqvi, N. H., & Damásio, A. R. (2006) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2005.10.024 · Cited by 499 · see citing works
Bernieri, F. J., Reznick, J. S., & Rosenthal, R. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.2.243 · Cited by 436 · see citing works
Emotion cycles: On the social influence of emotion in organizations
Hareli, S., & Rafaeli, A. (2008) · Research in Organizational Behavior · doi:10.1016/j.riob.2008.04.007 · Cited by 426 · see citing works
Evidence of mood linkage in work groups
Totterdell, P., Kellett, S., Teuchmann, K., & Briner, R. B. (1998) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.74.6.1504 · Cited by 368 · see citing works
Electrical autonomic correlates of emotion
Sequeira, H., Hot, P., Silvert, L., & Delplanque, S. (2008) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2008.07.009 · Cited by 311 · see citing works
Group emotion: A view from top and bottom.
Barsade, S. G., & Gibson, D. E. (1998) · Cited by 299 · see citing works
Boxtel, A. V. (2001) · Psychophysiology · doi:10.1111/1469-8986.3810022 · Cited by 281 · see citing works
A valid procedure for obtaining self-report of affect in marital interaction.
Gottman, J. M., & LEVENSON, R. W. (1985) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.53.2.151 · Cited by 281 · see citing works
A valid procedure for obtaining self-report of affect in marital interaction.
Gottman, J. M., & Levenson, R. W. (1985) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.53.2.151 · Cited by 281 · see citing works
Strangers in sync: achieving embodied rapport through shared movements.
Vacharkulksemsuk, T., & Fredrickson, B. L. (2012) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2011.07.015 · Cited by 231 · see citing works
Walter, F., & Bruch, H. (2008) · Journal of Organizational Behavior · doi:10.1002/job.505 · Cited by 218 · see citing works
Music structure determines heart rate variability of singers
Vickhoff, B., Malmgren, H., Åström, R., Nyberg, G., Ekström, S.-R., Engwall, M., Snygg, J., Nilsson, M., & Jörnsten, R. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00334 · Cited by 201 · cited 1× · see citing works
“Moreover, our task also did not systematically involve heart rate in a functional way for task performance, such as through the coupling of heart rate and breathing, which has shown to create synchronous heart rate activity in members of a choir during singing [55].”
BackgroundThe influence of intra‐team conflict on work teams' affective climate: A longitudinal study
Gamero, N., González‐Romá, V., & Silla, J. M. P. (2007) · Journal of Occupational and Organizational Psychology · doi:10.1348/096317907x180441 · Cited by 182 · see citing works
Research on Managing Groups and Teams
Mannix, E. A., & Neale, M. A. (2000) · Research on managing groups and teams · doi:10.1016/s1534-0856(2000)3 · Cited by 169 · see citing works
Cross recurrence quantification of coupled oscillators
Shockley, K. D., Butwill, M., Zbilut, J. P., & Webber, C. L. (2002) · Physics Letters A · doi:10.1016/s0375-9601(02)01411-1 · Cited by 160 · see citing works
Zbilut, J. P., Giuliani, A., & Webber, C. L. (1998) · Physics Letters A · doi:10.1016/s0375-9601(97)00843-8 · Cited by 153 · see citing works
Articulatory constraints on interpersonal postural coordination.
Shockley, K. D., Baker, A. A., Richardson, M. J., & Fowler, C. A. (2007) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.33.1.201 · Cited by 150 · see citing works
Building trust: Heart rate synchrony and arousal during joint action increased by public goods game
Mitkidis, P., McGraw, J. J., Roepstorff, A., & Wallot, S. (2015) · Physiology & Behavior · doi:10.1016/j.physbeh.2015.05.033 · Cited by 144 · see citing works
Self-citationHåkonsson, D. D., Eskildsen, J., Argote, L., Mønster, D., Burton, R. M., & Obel, B. (2015) · Strategic Management Journal · doi:10.1002/smj.2380 · Cited by 137 · see citing works
Self-citationTouch increases autonomic coupling between romantic partners
Chatel-Goldman, J., Congedo, M., Jutten, C., & Schwartz, J.-L. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00095 · Cited by 135 · see citing works
Smile and (Half) the World Smiles with You, Frown and You Frown Alone
Hinsz, V. B., & Tomhave, J. A. (1991) · Personality and Social Psychology Bulletin · doi:10.1177/0146167291175014 · Cited by 111 · see citing works
Fusaroli, R., Konvalinka, I., & Wallot, S. (2014) · Springer proceedings in mathematics & statistics · doi:10.1007/978-3-319-09531-8_9 · Cited by 101 · see citing works
Self-citationSampling rate effects on surface EMG timing and amplitude measures
Ives, J. C., & Wigglesworth, J. K. (2003) · Clinical Biomechanics · doi:10.1016/s0268-0033(03)00089-5 · Cited by 94 · see citing works
A complexity score derived from principal components analysis of nonlinear order measures
Giuliani, A., Colafranceschi, M., Webber, C. L., & Zbilut, J. P. (2001) · Physica A Statistical Mechanics and its Applications · doi:10.1016/s0378-4371(01)00427-7 · Cited by 45 · see citing works
Redundancy analysis of autonomic and self-reported, responses to induced emotions
Friedman, B. H., Stephens, C. L., & Thayer, J. F. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2013.12.006 · Cited by 35 · see citing works
Psychophysiological Contributions to Social Psychology
Shapiro, D., & SCHWARTZ, G. E. R. (1970) · Annual Review of Psychology · doi:10.1146/annurev.ps.21.020170.000511 · Cited by 28 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Wallot, S., & Mønster, D. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01679 · Cited by 224 · see citing works
Self-citationPhysiological and Behavioral Synchrony Predict Group Cohesion and Performance
Gordon, I., Gilboa, A., Cohen, S., Milstein, N., Haimovich, N., Pinhasi, S., & Siegman, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-65670-1 · Cited by 146 · see citing works
What multimodal data can tell us about the students’ regulation of their learning process?
Järvelä, S., Malmberg, J., Haataja, E., Sobocinski, M., & Kirschner, P. A. (2021) · Learning and Instruction · doi:10.1016/j.learninstruc.2019.04.004 · Cited by 163 · 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
Self-citationWallot, S., Roepstorff, A., & Mønster, D. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01835 · Cited by 140 · see citing works
Self-citationMultimodal data to design visual learning analytics for understanding regulation of learning
Noroozi, O., Alikhani, I., Järvelä, S., Kirschner, P. A., Juuso, I., & Seppänen, T. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.12.019 · Cited by 140 · see citing works
Wallot, S., & Leonardi, G. G. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02232 · Cited by 139 · see citing works
Self-citationJärvenoja, H., Näykki, P., & Törmänen, T. (2019) · Studies in Higher Education · doi:10.1080/03075079.2019.1665318 · Cited by 130 · see citing works
Teams as Complex Adaptive Systems: Reviewing 17 Years of Research
Ramos‐Villagrasa, P. J., Marques‐Quinteiro, P., Navarro, J., & Rico, R. (2017) · Small Group Research · doi:10.1177/1046496417713849 · Cited by 127 · see citing works
Interpersonal Coordination: Methods, Achievements, and Challenges
Cornejo, C., Cuadros, Z., Morales, R., & Mayor, J. P. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01685 · Cited by 106 · see citing works
Deep Structures of Collaboration
Chikersal, P., Tomprou, M., Kim, Y. J., Woolley, A. W., & Dabbish, L. (2017) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2998181.2998250 · Cited by 99 · see citing works
Haataja, E., Malmberg, J., & Järvelä, S. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.06.007 · Cited by 94 · see citing works
Speaking out of turn: How video conferencing reduces vocal synchrony and collective intelligence
Tomprou, M., Kim, Y. J., Chikersal, P., Woolley, A. W., & Dabbish, L. (2021) · PLoS ONE · doi:10.1371/journal.pone.0247655 · Cited by 81 · see citing works
Mayo, O., Lavidor, M., & Gordon, I. (2021) · Physiology & Behavior · doi:10.1016/j.physbeh.2021.113391 · Cited by 73 · see citing works
Recurrence Quantification Analysis of Processes and Products of Discourse: A Tutorial in R
Wallot, S. (2017) · Discourse Processes · doi:10.1080/0163853x.2017.1297921 · Cited by 73 · see citing works
Self-citationAhonen, 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
Wallot, S. (2018) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1512846 · Cited by 62 · see citing works
Self-citationHow and why people synchronize: An integrated perspective
daSilva, E. B., & Wood, A. (2025) · Personality and Social Psychology Review · doi:10.1177/10888683241252036 · Cited by 56 · see citing works
Detecting shared physiological arousal events in collaborative problem solving
Dindar, M., Järvelä, S., Nguyen, A., Haataja, E., & Çini, A. (2022) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2022.102050 · Cited by 68 · see citing works
Dindar, M., Alikhani, I., Malmberg, J., Järvelä, S., & Seppänen, T. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.03.004 · Cited by 53 · see citing works
Törmänen, T., Järvenoja, H., Saqr, M., Malmberg, J., & Järvelä, S. (2022) · British Journal of Educational Psychology · doi:10.1111/bjep.12525 · Cited by 51 · see citing works
Malmberg, J., Haataja, E., Seppänen, T., & Järvelä, S. (2019) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-019-09311-4 · Cited by 50 · see citing works
Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis with crqa
Coco, M. I., Mønster, D., Leonardi, G. G., Dale, R. A. C., & Wallot, S. (2021) · The R Journal · doi:10.32614/rj-2021-062 · Cited by 49 · see citing works
Self-citationBeing 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
Trust Measurement in Human-Autonomy Teams: Development of a Conceptual Toolkit
Krausman, A., Neubauer, C. E., Forster, D. E., Lakhmani, S. G., Baker, A. L., Fitzhugh, S. M., Gremillion, G. M., Wright, J. L., Metcalfe, J. S., & Schaefer, K. E. (2022) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3530874 · Cited by 47 · see citing works
Gordon, I., Wallot, S., & Berson, Y. (2021) · Psychophysiology · doi:10.1111/psyp.13857 · Cited by 45 · see citing works
Self-citationInterpersonal Physiological Synchrony Predicts Group Cohesion
Tomashin, A., Gordon, I., & Wallot, S. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.903407 · Cited by 45 · see citing works
Self-citationSchneider, B., Sung, G., Chng, E., & Yang, S. F. (2021) · Sensors · doi:10.3390/s21248185 · Cited by 45 · see citing works
Bridging the gap between emotion and joint action
Bieńkiewicz, M. M. N., Smykovskyi, A., Olugbade, T., Janaqi, S., Camurri, A., Bianchi‐Berthouze, N., Björkman, M., & Bardy, B. G. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.08.014 · Cited by 47 · see citing works
Liu, Y., Wang, T., Wang, K., & Zhang, Y. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.674369 · Cited by 41 · see citing works
A Review of Using Wearable Technology to Assess Team Functioning and Performance
Hałgas, E. A., van Eijndhoven, K. H. J., Gevers, J., Wiltshire, T. J., Westerink, J. H. D. M., & Rispens, S. (2022) · Small Group Research · doi:10.1177/10464964221125717 · Cited by 39 · see citing works
Törmänen, T., Järvenoja, H., & Mänty, K. (2021) · Educational Technology Research and Development · doi:10.1007/s11423-021-10037-0 · Cited by 38 · see citing works
Haataja, E., Malmberg, J., Dindar, M., & Järvelä, S. (2021) · Metacognition and Learning · doi:10.1007/s11409-021-09279-3 · Cited by 37 · see citing works
Vicarious conditioned fear acquisition and extinction in child–parent dyads
Marin, M., Bilodeau-Houle, A., Morand‐Beaulieu, S., Brouillard, A., Herringa, R. J., & Milad, M. R. (2020) · Scientific Reports · doi:10.1038/s41598-020-74170-1 · Cited by 33 · see citing works
Marzoratti, A., & Evans, T. M. (2022) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-022-01011-1 · Cited by 38 · see citing works
Wiltshire, T. J., van Eijndhoven, K. H. J., Hałgas, E. A., & Gevers, J. (2022) · Topics in Cognitive Science · doi:10.1111/tops.12606 · Cited by 34 · see citing works
Physiological synchrony predicts observational threat learning in humans
Pärnamets, P., Espinosa, L., & Olsson, A. (2020) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2019.2779 · Cited by 33 · see citing works
Gordon, I., Gilboa, A., Cohen, S., & Kleinfeld, T. (2020) · Physiology & Behavior · doi:10.1016/j.physbeh.2020.113074 · Cited by 28 · see citing works
Forms and Functions of Affective Synchrony
Wood, A., Lipson, J., Zhao, O., & Niedenthal, P. M. (2021) · Springer eBooks · doi:10.1007/978-3-030-78471-3_17 · Cited by 30 · see citing works
Törmänen, T., Järvenoja, H., Saqr, M., Malmberg, J., & Järvelä, S. (2022) · Frontiers in Education · doi:10.3389/feduc.2022.866612 · Cited by 28 · see citing works
Sung, G., Bhinder, H., Feng, T., & Schneider, B. (2023) · Computers & Education · doi:10.1016/j.compedu.2023.104784 · Cited by 28 · see citing works
Macpherson, M. C., Marie, D., Schön, S., & Miles, L. K. (2019) · British Journal of Psychology · doi:10.1111/bjop.12426 · Cited by 27 · see citing works
Park, S., Choi, S. J., Mun, S., & Whang, M. (2018) · Physiology & Behavior · doi:10.1016/j.physbeh.2018.04.022 · Cited by 23 · see citing works
Team Situation Awareness, Cohesion, and Autonomic Synchrony
Guastello, S. J., Bednarczyk, C., Hagan, R., Johnson, C., Marscisek, L., McGuigan, L. M., & Peressini, A. F. (2022) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208221118301 · Cited by 23 · see citing works
Algumaei, M., Hettiarachchi, I., Veerabhadrappa, R., & Bhatti, A. (2023) · Sensors · doi:10.3390/s23042268 · Cited by 20 · see citing works
Murata, A., Nomura, K., Watanabe, J., & Kumano, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-91831-x · Cited by 20 · 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
Malmberg, J., Saqr, M., Järvenoja, H., Haataja, E., Pijeira‐Díaz, H. J., & Järvelä, S. (2022) · Springer eBooks · doi:10.1007/978-3-031-08076-0_4 · Cited by 18 · see citing works
A Computational Approach to Examining Team Coordination Breakdowns During Crisis Situations
van Eijndhoven, K. H. J., Wiltshire, T. J., Hałgas, E. A., & Gevers, J. (2023) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/15553434231156417 · Cited by 18 · see citing works
Crone, C., Rigoli, L. M., Patil, G., Pini, S., Sutton, J. D., Kallen, R. W., & Richardson, M. J. (2021) · Human Movement Science · doi:10.1016/j.humov.2021.102776 · Cited by 18 · see citing works
Håkonsson, D. D., Obel, B., Eskildsen, J., & Burton, R. M. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00692 · Cited by 17 · see citing works
Self-citationBeyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY)
Meier, D., & Tschacher, W. (2021) · Entropy · doi:10.3390/e23111385 · Cited by 18 · see citing works
Affect as an antecedent of synchrony: A spectrum analysis with wavelet transform
Fujiwara, K., & Daibo, I. (2018) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021817745861 · Cited by 16 · see citing works
Circadian Rhythms and Physiological Synchrony
Jun, E., McDuff, D., & Czerwinski, M. P. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359162 · Cited by 15 · see citing works
Computational Methods for the Assessment of Empathic Synchrony
Bizzego, A., Gabrieli, G., Azhari, A., Setoh, P., & Esposito, G. (2020) · Smart innovation, systems and technologies · doi:10.1007/978-981-15-5093-5_47 · Cited by 15 · see citing works
Bringing social interaction at the core of organizational neuroscience
Boukarras, S., Ferri, D., Frisanco, A., Farnese, M. L., Consiglio, C., Alvino, I., Bianchi, F. P., D'Acunto, A., Боргогни, Л., & Aglioti, S. M. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1034454 · Cited by 15 · see citing works
Danvers, A. F., Sbarra, D. A., & Mehl, M. R. (2020) · European Journal of Personality · doi:10.1002/per.2282 · Cited by 15 · see citing works
A reduced-dimensionality approach to uncovering dyadic modes of body motion in conversations
Gaziv, G., Noy, L., Liron, Y., & Alon, U. S. (2017) · PLoS ONE · doi:10.1371/journal.pone.0170786 · Cited by 14 · see citing works
Fu, D., Incio-Serra, N., Motta‐Ochoa, R., & Blain‐Moraes, S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.749710 · Cited by 15 · see citing works
Lynch, A. K., Ashcraft, R., Mahler, K., Whiting, C. C., Schroeder, K., & Weber, M. (2020) · Journal of Occupational Therapy Schools & Early Intervention · doi:10.1080/19411243.2020.1732263 · Cited by 14 · see citing works
Meinecke, A. L., Handke, L., Müller-Frommeyer, L. C., & Kauffeld, S. (2019) · European Journal of Work and Organizational Psychology · doi:10.1080/1359432x.2019.1658624 · Cited by 13 · see citing works
Blink Synchronization Increases Over Time and Predicts Problem-Solving Performance in Virtual Teams
Hoffmann, A., Schellhorn, A.-M., Ritter, M., Sachse, P., & Maran, T. K. (2023) · Small Group Research · doi:10.1177/10464964231195618 · Cited by 12 · see citing works
Moors, F., & Zech, E. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01868 · Cited by 12 · see citing works
Thorson, K. R., Dumitru, O. D., Mendes, W. B., & West, T. V. (2019) · Group Processes & Intergroup Relations · doi:10.1177/1368430219890909 · Cited by 12 · see citing works
Lyby, M. S., Mehlsen, M. Y., Jensen, A. B., Bovbjerg, D. H., Philipsen, J. S., & Wallot, S. (2019) · Frontiers in Applied Mathematics and Statistics · doi:10.3389/fams.2019.00037 · Cited by 11 · see citing works
Self-citationThe effectiveness of goal-free problems for studying triangle similarity in collaborative groups
Purnama, P. W., & Retnowati, E. (2020) · JRAMathEdu (Journal of Research and Advances in Mathematics Education) · doi:10.23917/jramathedu.v6i1.11198 · Cited by 12 · see citing works
Interpersonal Synchrony Research in Human Groups
Gordon, I. (2025) · Social and Personality Psychology Compass · doi:10.1111/spc3.70068 · Cited by 10 · see citing works
Macpherson, M. C., & Miles, L. K. (2022) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2022.104439 · Cited by 10 · see citing works
Bizzego, A., Azhari, A., & Esposito, G. (2021) · Neuroinformatics · doi:10.1007/s12021-021-09551-6 · Cited by 9 · see citing works
Physiological linkage among successful high-status women in international teams
Thorson, K. R., Dumitru, O. D., & West, T. V. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa112 · Cited by 9 · see citing works
Catching That Playful Beat: Social Anxiety and Synchronous Group Functioning
Gordon, I., Gilboa-Schechtman, E., Gilboa, A., Cohen, S., & Kivity, Y. (2023) · Journal of Nonverbal Behavior · doi:10.1007/s10919-023-00436-7 · Cited by 7 · see citing works
Physiological 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
Zak, P. J., Barraza, J. A., Hu, X., Zahedzadeh, G., & Murray, J. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.787905 · Cited by 7 · see citing works
Putra, A. P., Akrim, A., & Dalle, J. (2020) · International Journal of Education and Practice · doi:10.18488/journal.61.2020.84.746.758 · Cited by 7 · see citing works
Neurobiological Approaches to Interpersonal Coordination: Achievements and Pitfalls
Cornejo, C., Cuadros, Z., & Morales, R. (2017) · Springer eBooks · doi:10.1007/978-3-319-68421-5_4 · Cited by 7 · see citing works
Physiological attunement and flourishing: understanding the influence of relationships on health
Bastos, M. A. V., Braz, D. F., Porto, A. L. M., Cordeiro, K. S. D. S., Portella, R. B., & Granger, D. A. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1614379 · Cited by 7 · see citing works
Pauly, T., Lüscher, J., Wilhelm, L. O., Amrein, M. A., Boateng, G., Kowatsch, T., Fleisch, E., Bodenmann, G., & Scholz, U. (2024) · JMIR mhealth and uhealth · doi:10.2196/49576 · Cited by 5 · see citing works
Kuchma, V. R., Сухарева, Л. М., Серафимович, Н. Д., Vg, S., & Goncharova, G. A. (2019) · Russian Pediatric Journal · doi:10.18821/1560-9561-2017-20-6-346-353 · Cited by 6 · see citing works
Exploring Perspective Dependency in a Shared Body with Virtual Supernumerary Robotic Arms
Takizawa, R., Verhulst, A., Seaborn, K., Fukuoka, M., Hiyama, A., Kitazaki, M., İnami, M., & Sugimoto, M. (2019) · IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) · doi:10.1109/aivr46125.2019.00014 · Cited by 6 · see citing works
The Synergy Zone: Connecting the Mind, Brain, and Heart for the Ideal Classroom Learning Environment
Zadina, J. N. (2023) · Brain Sciences · doi:10.3390/brainsci13091314 · Cited by 8 · see citing works
Physiological Synchrony Predicts Observational Threat Learning in HumansPreprint
Pärnamets, P., Espinosa, L., & Olsson, A. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/454819 · Cited by 6 · see citing works
Greenberg, D. M., Milstein, N., Gilboa, A., Cohen, S., Haimovich, N., Siegman, S., Pinhasi, S., & Gordon, I. (2023) · Psychophysiology · doi:10.1111/psyp.14307 · Cited by 4 · see citing works
Learners’ Linguistic Alignment and Physiological Synchrony
Lämsä, J., Edwards, J., Haataja, E., Sobocinski, M., Peña, P. R., Nguyen, A., & Järvelä, S. (2024) · Journal of Learning Analytics · doi:10.18608/jla.2024.8287 · Cited by 17 · see citing works
Tütüncü, E. K., & Izzouzi, L. (2024) · IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) · doi:10.1109/ismar-adjunct64951.2024.00048 · 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
The Neuroscience of Team Cooperation Versus Team Collaboration
Balters, S., Mayseless, N., Hawthorne, G., & Reiss, A. L. (2021) · Understanding innovation · doi:10.1007/978-3-030-62037-0_9 · Cited by 4 · see citing works
Trajectories of interbrain synchrony during teamwork: links with team composition and performance
Reveillé, C., Vergotte, G., Dray, G., Jean, P.-A., Perrey, S., & Bosselut, G. (2025) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaf081 · Cited by 3 · see citing works
Leveraging Affective Friction to Improve Online Creative Collaboration: An Experimental Design
Saigot, M. (2022) · Lecture notes in information systems and organisation · doi:10.1007/978-3-031-13064-9_25 · Cited by 3 · see citing works
The Role of Mentalizing in Communication Behaviors
Parelman, J. M., Doré, B., & Falk, E. B. (2021) · Springer eBooks · doi:10.1007/978-3-030-51890-5_30 · Cited by 3 · see citing works
Chien, W.-S., Chou, H.-C., & Lee, C.-C. (2021) · Companion Publication of the International Conference on Multimodal Interaction (ICMI Companion) · doi:10.1145/3461615.3485410 · Cited by 3 · see citing works
Huang, X., Li, S., Wang, T., & Lajoie, S. P. (2025) · Proceedings. · doi:10.22318/icls2025.503399 · Cited by 3 · see citing works
Interpersonal Trust Activity to Increase Team Creativity Outcome: An fNIRS Hyperscanning Approach
Balters, S., Weinstein, T. J., Hawthorne, G., & Reiss, A. L. (2022) · Understanding innovation · doi:10.1007/978-3-031-09297-8_2 · Cited by 3 · see citing works
Detecting Deception and Suspicion in Dyadic Game Interactions
Ondras, J., & Güneş, H. (2018) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3242969.3242993 · Cited by 3 · see citing works
Dale, R. A. C., & Spivey, M. J. (2018) · Advances in interaction studies · doi:10.1075/ais.10.04dal · Cited by 3 · see citing works
Self-report and facial expression indicators of team cohesion development
Bonny, J. W. (2022) · Behavior Research Methods · doi:10.3758/s13428-022-01799-3 · Cited by 3 · 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
Zhang, J., Tan, L., Xu, X., Xie, C., Xu, X., Li, Z., & Wang, F. (2026) · Tunnelling and Underground Space Technology · doi:10.1016/j.tust.2025.107442 · Cited by 2 · see citing works
Burns, A., Toker, S., Berson, Y., & Gordon, I. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2409708122 · Cited by 2 · see citing works
- Authors
- Mønster, D., Håkonsson, D. D., Eskildsen, J. K., & Wallot, S.
- Affiliations
- Aarhus University (DK)
- Corresponding author
- Mønster, Dan
- Venue
- Physiology & Behavior
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 156
- Pages
- 24-34
- ISSN
- 0031-9384 (ISSN-L)
- OpenAlex
- W2229139855
- Cited by
- 134
- References
- 59
- Citations by year
- 2026: 13 · 2025: 12 · 2024: 6 · 2023: 8 · 2022: 19 · 2021: 21 · 2020: 19 · 2019: 13 · 2018: 12 · 2017: 8 · 2016: 3
- FWCI
- 18.87
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Physiology & Behavior (publishedVersion)
- PubMed (publishedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion, cc-by-nc-nd)
- Funders
- Danish Ministry of Science, Technology and Innovation (0601-12345B)
- Topics
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Keywords
- interpersonal dynamics, skin conductance, heart rate, corrugator supercilii, facial muscle activity, team cohesion, behavioral coordination
- MeSH terms
- Adolescent, Adult, Cooperative Behavior, Emotions, Female, Group Processes, Humans, Interpersonal Relations, Male, Middle Aged, Monitoring, Physiologic, Psychophysiology
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
