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Modeling Frequency Reduction in Human Groups Performing a Joint Oscillatory Task.

Carmela Calabrese1,2, Benoît G Bardy2, Pietro De Lellis1

  • 1Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy.

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|January 21, 2022
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Summary
This summary is machine-generated.

Human group synchronization shows slower oscillations than individual tasks. This study proposes three modified Kuramoto models to explain this phenomenon in multi-agent systems.

Keywords:
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Area of Science:

  • Collective behavior
  • Computational neuroscience
  • Human-computer interaction

Background:

  • Human groups performing oscillatory tasks exhibit reduced oscillation frequencies compared to solo performance.
  • The standard Kuramoto oscillator model fails to capture this group synchronization phenomenon.
  • Understanding the mechanisms of human synchronization is crucial for various applications.

Purpose of the Study:

  • To propose and investigate novel modifications of the Kuramoto model to account for reduced group oscillation frequencies.
  • To explore biologically-relevant hypotheses underlying emergent group synchronization.
  • To compare model predictions with experimental data from human synchronization tasks.

Main Methods:

  • Developed three distinct modifications to the standard Kuramoto oscillator model.
  • Incorporated biologically-inspired hypotheses into each model.
  • Tuned and validated the proposed models using experimental data.
  • Utilized a multi-agent extension of the mirror game for group synchronization experiments.

Main Results:

  • The proposed modified Kuramoto models successfully capture the reduced oscillation frequency observed in human group synchronization.
  • Model performance was validated against experimental data, demonstrating their efficacy.
  • The study provides insights into the mechanisms driving collective synchronization in human groups.

Conclusions:

  • Modified Kuramoto models offer a better framework for understanding human group synchronization than the standard model.
  • Biologically-relevant hypotheses can effectively explain frequency reduction in collective oscillatory tasks.
  • This research advances the modeling of human collective behavior and synchronization phenomena.