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Children’s synchrony and rhythmicity in imitation of peers: Toward a developmental model of empathy

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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

Computer Vision Analysis of Reduced Interpersonal Affect Coordination in Youth With Autism Spectrum Disorder

Zampella, C., Bennetto, L., & Herrington, J. D. (2020) · Autism Research · doi:10.1002/aur.2334 · Cited by 39 · see citing works

Relationships Between Body Postures and Collaborative Learning States in an Augmented Reality Study

Radu, I. W., Tu, E., & Schneider, B. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-52240-7_47 · Cited by 38 · see citing works

Analyzing speech rate entrainment and its relation to therapist empathy in drug addiction counseling

Xiao, B., Imel, Z. E., Atkins, D. C., Georgiou, P., & Narayanan, S. S. (2015) · Interspeech (USB) · doi:10.21437/interspeech.2015-537 · Cited by 38 · see citing works

Movement Synchrony and Facial Synchrony as Diagnostic Features of Depression

Altmann, U., Brümmel, M., Meier, J., & Strauss, B. M. (2020) · The Journal of Nervous and Mental Disease · doi:10.1097/nmd.0000000000001268 · Cited by 38 · see citing works

Analyzing Multifunctionality of Head Movements in Face-to-Face Conversations Using Deep Convolutional Neural Networks

Otsuka, K., & Tsumori, M. (2020) · IEEE Access · doi:10.1109/access.2020.3041672 · Cited by 38 · see citing works

Collective Attention and Collective Intelligence: The Role of Hierarchy and Team Gender Composition

Woolley, A. W., Chow, R. M., Mayo, A. T., Riedl, C., & Chang, J. W. (2022) · Organization Science · doi:10.1287/orsc.2022.1602 · Cited by 37 · see citing works

Theories and Models of Teams and Groups

Reiter‐Palmon, R., Sinha, T., Gevers, J., Odobez, J., & Volpe, G. (2017) · Small Group Research · doi:10.1177/1046496417722841 · Cited by 37 · see citing works

Exit from Synchrony in Joint Improvised Motion

Dahan, A., Noy, L., Hart, Y., Mayo, A., & Alon, U. S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160747 · Cited by 37 · see citing works

Adaptive virtual agent: Design and evaluation for real-time human-agent interaction

Woo, J., Shidara, K., Achard, C., Tanaka, H., Nakamura, S., & Pélachaud, C. (2024) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2024.103321 · Cited by 36 · see citing works

Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues

Yu, X., Zhang, S., Yan, Z.-N., Yang, F., Huang, J.-Z., Dunbar, N. E., Jensen, M. L., Burgoon, J., & Metaxas, D. N. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2329673 · Cited by 63 · see citing works

Synchrony within Triads using Virtual Reality

Miller, M. R., Sonalkar, N., Mabogunje, A., LEIFER, L. J., & Bailenson, J. N. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3479544 · Cited by 35 · see citing works

Assessment of the communicative and coordination skills of children with Autism Spectrum Disorders and typically developing children using social signal processing

Delaherche, E., Chétouani, M., Bigouret, F., Xavier, J., Plaza, M., & Cohen, D. (2013) · Research in Autism · doi:10.1016/j.rasd.2013.02.003 · Cited by 35 · see citing works

Computational Analysis and Simulation of Empathic Behaviors: a Survey of Empathy Modeling with Behavioral Signal Processing Framework

Xiao, B., Imel, Z. E., Georgiou, P., Atkins, D. C., & Narayanan, S. S. (2016) · Current Psychiatry Reports · doi:10.1007/s11920-016-0682-5 · Cited by 34 · see citing works

Multimodal analysis of speech and arm motion for prosody-driven synthesis of beat gestures

Bozkurt, E., Yemez, Y., & Erzin, E. (2016) · Speech Communication · doi:10.1016/j.specom.2016.10.004 · Cited by 34 · see citing works

Boiling Mind: Amplifying the Audience-Performer Connection through Sonification and Visualization of Heart and Electrodermal Activities

Sugawa, M., Furukawa, T., Chernyshov, G., Hynds, D., Han, J., Macieira, M. P., Zheng, D., Marky, K., Kunze, K. S., & Minamizawa, K. (2021) · International Conference on Tangible, Embedded, and Embodied Interaction (TEI) · doi:10.1145/3430524.3440653 · Cited by 34 · see citing works

Prospects for Augmenting Team Interactions with Real‐Time Coordination‐Based Measures in Human‐Autonomy Teams

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

Embodied Virtual Patients as a Simulation-Based Framework for Training Clinician-Patient Communication Skills: An Overview of Their Use in Psychiatric and Geriatric Care

Chaby, L., Benamara, A., Pino, M., Prigent, E., Ravenet, B., Martin, J., Vanderstichel, H., Becerril-Ortega, R., Rigaud, A., & Chétouani, M. (2022) · Frontiers in Virtual Reality · doi:10.3389/frvir.2022.827312 · Cited by 34 · see citing works

A Method for Automatic Detection of Psychomotor Entrainment

Iqbal, T., & Riek, L. D. (2015) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2015.2445335 · Cited by 34 · see citing works

Development of a Synchronization Coefficient for Biosocial Interactions in Groups and Teams

Guastello, S. J., & Peressini, A. F. (2016) · Small Group Research · doi:10.1177/1046496416675225 · Cited by 34 · see citing works

Estimating verbal expressions of task and social cohesion in meetings by quantifying paralinguistic mimicry

Nanninga, M. C., Zhang, Y., Lehmann-Willenbrock, N., Szlávik, Z., & Hung, H. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction · doi:10.1145/3136755.3136811 · Cited by 34 · see citing works

Kinematics of perceived dyadic coordination in dance

Hartmann, M., Mavrolampados, A., Allingham, E., Carlson, E. J., Burger, B., & Toiviainen, P. (2019) · Scientific Reports · doi:10.1038/s41598-019-52097-6 · Cited by 33 · see citing works

New Social Signals in a New Interaction World: The Next Frontier for Social Signal Processing

Vinciarelli, A., & Pentland, A. (2015) · IEEE Systems Man and Cybernetics Magazine · doi:10.1109/msmc.2015.2441992 · Cited by 33 · see citing works

The Kinematics of Social Action: Visual Signals Provide Cues for What Interlocutors Do in Conversation

Trujillo, J. P., & Holler, J. (2021) · Brain Sciences · doi:10.3390/brainsci11080996 · Cited by 33 · see citing works

Dynamics of Non-Verbal Vocalizations and Hormones during Father-Infant Interaction

Weisman, O., Chétouani, M., Saint‐Georges, C., Bourvis, N., Delaherche, E., Zagoory‐Sharon, O., Cohen, D., & Feldman, R. (2015) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2015.2478468 · Cited by 33 · 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

Clinician-patient movement synchrony mediates social group effects on interpersonal trust and perceived pain

Goldstein, P., Losin, E. A. R., Anderson, S. R., Schelkun, V., & Wager, T. (2020) · Journal of Pain · doi:10.1016/j.jpain.2020.03.001 · Cited by 27 · see citing works

Interpersonal Synchrony: From Social Perception to Social Interaction

Chétouani, M., Delaherche, E., Dumas, G., & Cohen, D. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316676202.015 · Cited by 21 · see citing works

Measuring Multimodal Synchrony for Human-Computer Interaction

England, D., Reidsma, D., Sheridan, J., Nijholt, A., Crane, B., Tschacher, W., & Ramseyer, F. (2010) · University of Twente Research Information

Multimodal Interpersonal Synchrony: Systematic Review and Meta-AnalysisPreprint

Ohayon, S. (2022) · OSF Preprints (OSF Preprints) · doi:10.17605/osf.io/wy9q7

Body Text The use of synchrony in parent-child interaction can be measured on a signal level

Rolf, M., Hanheide, M., & Rohlfing, K. J. (2016)

Modeling dyadic synchrony with heterogeneous data: validation in infant-mother and infant-robot interactions

Klein, L. R. (. (2023) · University of Southern California Digital Library · doi:10.25549/usctheses-ouc113099312