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A Novel Computer-Based Set-Up to Study Movement Coordination in Human Ensembles.

Francesco Alderisio1, Maria Lombardi2, Gianfranco Fiore1

  • 1Department of Engineering Mathematics, University of BristolBristol, United Kingdom.

Frontiers in Psychology
|June 27, 2017
PubMed
Summary

This study introduces a new computer setup to analyze human movement coordination by limiting social interactions. It allows researchers to study how network structures and virtual agents influence group synchronization.

Keywords:
client-servercomputer softwarecoordinationgroup synchronizationhuman ensembleshuman-robot interactionmultiplayer gamessocial interaction

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Area of Science:

  • Human-computer interaction
  • Social psychology
  • Collective behavior

Background:

  • Traditional studies on human movement coordination often involve full social coupling, making it difficult to isolate the effects of network structure.
  • Existing methods struggle to differentiate between social interaction and inherent coordination dynamics.

Purpose of the Study:

  • To present a novel computer-based setup for studying human group movement coordination with minimized social interaction.
  • To enable the investigation of how interconnection structures and virtual agents affect coordination in human ensembles.
  • To provide a platform for analyzing dyadic and group synchronization in mixed human-virtual agent teams.

Main Methods:

  • Developed a computer-based setup allowing controlled visual pairings among participants.
  • Implemented the ability for participants to observe only a subset of other individuals.
  • Integrated virtual agents to study human-virtual agent interactions and mixed-team dynamics.

Main Results:

  • Demonstrated the setup's capability to isolate the impact of interconnection structures on coordination.
  • Showcased the analysis of coordination in dyads and groups with varying network topologies.
  • Presented preliminary results on synchronization in the presence and absence of virtual agents (leaders/followers).

Conclusions:

  • The novel setup effectively isolates the effects of network structure on human group coordination.
  • The platform facilitates research into the mechanisms of group synchronization and its socio-psychological aspects.
  • The system is available for broader scientific use to explore collective behavior in human ensembles.