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Signaling equilibria in sensorimotor interactions.

Felix Leibfried1, Jordi Grau-Moya1, Daniel A Braun2

  • 1Max Planck Institute for Biological Cybernetics, Tübingen, Germany; Max Planck Institute for Intelligent Systems, Tübingen, Germany; Graduate Training Centre of Neuroscience, Tübingen, Germany.

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Summary
This summary is machine-generated.

This study explores human sensorimotor signaling in joint tasks. Signaling games reveal how communication costs and uncertainty influence information exchange during coordinated actions.

Keywords:
Decision theoryGame theoryJoint actionPerfect Bayesian Nash equilibriaSensorimotor communicationSignaling game

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Area of Science:

  • Cognitive Science
  • Behavioral Economics
  • Human-Computer Interaction

Background:

  • Complex communication is often assumed to evolve from simpler sensorimotor signaling.
  • However, less research has focused on investigating these simpler forms of communication.

Purpose of the Study:

  • To investigate human communicative sensorimotor behavior in a joint motor task.
  • To model this behavior using game-theoretic signaling games and compare it to equilibrium solutions.

Main Methods:

  • Developed a two-person joint motor task where one player (sender) has private information about a target.
  • Sender's actions served as costly signals influencing the receiver's strategy.
  • Utilized a game-theoretic model of signaling games to analyze behavior.

Main Results:

  • Observed both separating (signaling occurs) and pooling (signaling does not occur) equilibria in human subjects.
  • Signaling propensity decreased with increased signaling costs and decreased receiver uncertainty.
  • Results align with predictions from the signaling game model.

Conclusions:

  • Signaling games provide a valid framework for understanding human signaling behavior in dynamic sensorimotor interactions.
  • This framework extends beyond economic decision-making and animal communication.
  • Human sensorimotor interactions can be effectively modeled using signaling game theory.