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Related Experiment Video

Updated: May 19, 2026

Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies

Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies

Published on: May 9, 2019

Strong anticipation: complexity matching in interpersonal coordination.

Vivien Marmelat¹, Didier Delignières

¹Movement to Health (M2H), Montpellier-1 University, EuroMov, 700 Avenue du Pic Saint Loup, 34090, Montpellier, France. vivien.marmelat@laposte.net

Experimental Brain Research

|August 7, 2012

Summary

Interpersonal coordination, detected by matching fractal exponents, reveals global synchronization between participants. This suggests coordination operates on non-local time scales, not just local interactions.

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Last Updated: May 19, 2026

Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies

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Published on: July 17, 2021

Area of Science:

Complex systems science
Nonlinear dynamics
Human-computer interaction

Background:

Coordination within complex systems is often characterized by 1/f fluctuations.
Previous studies on interpersonal coordination focused on local, macroscopic interactions.
The concept of strong anticipation suggests multi-level interactions between complex systems.

Purpose of the Study:

To test the hypothesis that interpersonal synchronization exhibits matching complexity indices (fractal exponents).
To determine if this matching reflects global coordination rather than short-term adaptations.
To investigate the role of coupling strength in interpersonal coordination.

Main Methods:

Eleven pairs of participants oscillated a hand-held pendulum in an in-phase pattern.
Coordination was studied under three conditions manipulating coupling strength via perceptual feedback.
Fractal exponents and local cross-correlations of time series data were analyzed.

Main Results:

A high correlation was found between fractal exponents of participants' time series, regardless of coupling strength.
A very low percentage of local cross-correlations (lag 0 and 1) was observed.
The findings indicate synchronization is based on non-local time scales.

Conclusions:

Interpersonal coordination and synchronization with environments are based on non-local time scales.
The matching of fractal exponents suggests a global coordination mechanism.
This challenges the traditional focus on local interactions in understanding interpersonal synchronization.