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Virtual Partners Improve Synchronization in Human−Machine Trios

Bibliographic Data

ID7150338
AuthorsBavo Van Kerrebroeck (0000-0002-1675-8161, Department of Psychology McGill University, corresponding author), Marcelo Wanderley (0000-0002-9169-4313, Centre for Interdisciplinary Research in Music Media and Technology), Marcelo M Wanderley (McGill University), Alexander P Demos (0000-0001-7964-7808, Department of Psychology University of Illinois Chicago), Caroline Palmer (0000-0001-8507-7418, Department of Psychology McGill University, corresponding author)
Year2025
Volume49
Issue2
Pagese70040-e70040
Publication date2025-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCognitive Science (JOURNAL)
Journal identifiersISSN: 0364-0213 • E-ISSN: 1551-6709
PublisherWiley (PUBLISHER • GB)
DOI10.1111/cogs.70040
PMID39898831
OpenAlexW4407100281
LanguageEN
References cited57

The interplay between auditory and motor processes in sensorimotor synchronization is crucial for achieving a cohesive group performance, particularly in musical groups. This study addressed the impact of virtual partners on synchronization performance in human trios. With a novel methodology, the study utilized virtual partners driven by computational models to simulate real‐time synchronization with human participants. Trio synchronization with three synchronization models was compared: linear error‐correction, Kuramoto oscillators, and delay‐coupled oscillators. Forty‐eight musically trained adults performed synchronization tasks in both in‐phase and anti‐phase rhythms with either a human confederate or one of the three computational models as the third partner, forming 24 trios. Synchronization stability and accuracy were significantly enhanced in trios that contained a virtual partner compared to those with a human confederate. Model optimizations revealed a stronger coupling of participants with each other than with virtual partners for in‐phase rhythms, and a stronger coupling of virtual partners with participants than of participants with each other in anti‐phase rhythms; these patterns were obtained for the oscillator models but not for the linear model. Additionally, participants reported higher perceived synchronization success, greater control over performance, and stronger social relationships with virtual partners than with the human confederate. These findings highlight the potential of virtual partners for improving synchronization and suggest avenues for further research in the use of adaptive agents in group performance settings

Human–computer interaction · Rhythm · Telecommunications · Virtual actor · Virtual machine · Virtual reality · Computer Science · Music Technology and Sound Studies · Neuroscience and Music Perception · Nonlinear Dynamics and Pattern Formation · Psychology

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