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Joint action: neurocognitive mechanisms supporting human interaction.

Harold Bekkering1, Ellen R A de Bruijn, Raymond H Cuijpers

  • 1Donders Institute for Brain, Cognition, and Behavior, Radboud University NijmegenBehavioural Science Institute, Radboud University Nijmegen.

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Summary

Humans excel at joint action by predicting co-actor behavior via internal simulation. This review highlights the crucial roles of context-sensitive monitoring and selection in cooperative tasks.

Keywords:
Cooperation-competitionError monitoringGoal-directed behaviorJoint action

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Human-Computer Interaction

Background:

  • Cooperative tasks leverage individual action mechanisms, particularly internal action simulation for predicting co-actor behavior.
  • Existing research often oversimplifies joint action by focusing primarily on simulation, undervaluing other critical components.

Purpose of the Study:

  • To provide a comprehensive review of joint action, integrating simulation, monitoring, and selection processes.
  • To emphasize the intricate interrelationships between these key components of joint action.
  • To outline a neurologically plausible computational framework for understanding joint action.

Main Methods:

  • Review of recent empirical studies on joint action simulation, monitoring, and selection.
  • Analysis of the neurocognitive mechanisms underlying cooperative behavior.
  • Conceptualization of a computational framework for joint action.

Main Results:

  • Joint action relies heavily on internal action simulation, mirroring individual action prediction.
  • Context-sensitive action monitoring and selection are critical, yet often underestimated, elements of successful cooperation.
  • The interplay between simulation, monitoring, and selection is complex and essential for effective joint action.

Conclusions:

  • A more nuanced view of joint action is necessary, acknowledging the integrated roles of simulation, monitoring, and selection.
  • Understanding these interconnected processes is key to developing sophisticated models of human cooperation.
  • The proposed computational framework offers a foundation for future research into the neural basis of joint action.