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Multiple Groups of Agents for Increased Movement Interference and Synchronization.

Alexis Meneses1, Hamed Mahzoon2, Yuichiro Yoshikawa1

  • 1Graduate School of Engineering Science, Osaka University, Toyonaka 560-8531, Japan.

Sensors (Basel, Switzerland)
|July 27, 2022
PubMed
Summary
This summary is machine-generated.

The number of agents significantly impacts movement interference, with three agents causing more disruption than one. Human avatars also maintained better synchronization than robotic ones.

Keywords:
human–agent interactionhuman–robot interactioninterferencesynchronizationvirtual agent

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Area of Science:

  • Human-Computer Interaction
  • Robotics
  • Cognitive Science

Background:

  • Understanding agent influence on human movement is crucial for designing intuitive human-robot interactions.
  • Investigating factors like agent number and avatar type can reveal key determinants of movement interference and synchronization.

Purpose of the Study:

  • To examine how the number and type of agents (human/robot, biological/linear movement) affect human movement interference.
  • To study the synchronization between human subjects and agents.
  • To introduce and analyze a new paradigm of agent-induced synchronization.

Main Methods:

  • Experiments were conducted with human subjects interacting with varying numbers of agents (one, two, or three).
  • Avatar types (human vs. robot) and agent movement styles (biological vs. linear) were manipulated.
  • Movement interference and subject-agent synchronization were measured.

Main Results:

  • The number of agents had a significant main effect on movement interference, with three agents causing more interference than one.
  • Agent number was found to be more influential on movement interference than avatar characteristics or movement style.
  • A significant main effect of agent type on synchronization was observed, with human agents eliciting greater synchronization than robotic agents.

Conclusions:

  • The quantity of agents is a primary factor influencing movement interference, outweighing avatar appearance or movement patterns.
  • Human agents promote better synchronization compared to robotic agents, highlighting the importance of agent embodiment.
  • Agent groups can influence behavioral synchronization, introducing a new dimension to the study of agent-human interaction.