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Updated: Apr 27, 2026

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Working Together: Synergistic Predictors of Dyadic Performance in a Shared Force-Production Task.

Amutha De Silva1, Nicole S Carver1, Francis M Grover2

  • 1Department of Psychology, Center for Cognition, Action, and Perception, University of Cincinnati, Cincinnati, OH, USA.

Motor Control
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PubMed
Summary
This summary is machine-generated.

Stable joint action relies on task-sharing dynamics. Lower variation (VUCM) and irregularity (SampEnUCM) in task-sharing patterns indicate more robust performance in joint force production tasks.

Keywords:
interpersonal coordinationjoint actionnonlinear dynamicssample entropyuncontrolled manifold

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Area of Science:

  • Human motor control
  • Social robotics
  • Cognitive psychology

Background:

  • Joint action requires coordinated individual efforts for a stable shared outcome.
  • Understanding the behavioral markers of stable task-sharing is crucial but remains unclear.

Purpose of the Study:

  • Identify behavioral markers for task-sharing organization and robustness in a joint force-production task.
  • Investigate how task difficulty influences these dynamics.

Main Methods:

  • Thirty dyads performed a continuous joint force-production task with real-time feedback.
  • Task difficulty was manipulated using low (10% MVC) and high (30% MVC) force conditions.
  • Uncontrolled manifold (UCM) analysis characterized task-sharing patterns using variation (VUCM) and sample entropy (SampEnUCM).

Main Results:

  • Distinct force contribution patterns emerged: single-partner dominance, distinct temporal roles, and synergistic sharing.
  • Lower VUCM and SampEnUCM correlated with greater performance stability.
  • These indices effectively captured robust task-sharing patterns.

Conclusions:

  • VUCM and SampEnUCM serve as key behavioral indices for robust task-sharing.
  • These measures provide insight into control mechanisms enabling stable joint performance, especially under challenging conditions.