All-sense-all networks are suboptimal for sensorimotor synchronization.

Area of Science:

• Cognitive Science
• Network Science
• Human-Computer Interaction

Background:

• Human groups often synchronize to a common beat, with all members typically perceiving each other.
• The optimal network structure for temporal coordination, especially in professional settings, is not well understood.

Purpose of the Study:

• To investigate whether the 'all-sense-all' perception model is optimal for temporal coordination.
• To explore alternative network topologies for enhancing synchrony and beat steadiness.

Main Methods:

• Theoretical analysis of network topologies using directed graphs.
• Experimental study involving music conservatory students performing synchronization tasks.
• Evaluation of network density and path length effects on synchrony and rushing.

Main Results:

• A trade-off exists between network density (improving synchrony) and sensitivity to early taps (causing rushing).
• Networks combining short path length with low density achieved synchrony comparable to 'all-sense-all' networks.
• These optimized networks produced a steadier beat, reducing rushing behavior.

Conclusions:

• The 'all-sense-all' perception model is not necessarily optimal for temporal coordination.
• Strategic network configuration, balancing connectivity and density, can enhance group synchrony and beat stability.
• Technology can be used to create optimal networks for professional teams in various fields to improve temporal coordination.