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Human button-press sequences deviate from randomness due to coordination dynamics, not just cognitive limits. This study links these patterns to bimanual coordination, offering a new perspective on randomness production.

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Area of Science:

  • Cognitive Psychology
  • Dynamical Systems Theory
  • Human-Computer Interaction

Background:

  • Humans struggle to generate truly random binary sequences, often exhibiting excessive repetition or alternation.
  • Existing explanations focus on cognitive processing limitations or idiosyncrasies.
  • This study proposes coordination dynamics as a driver of these non-random patterns.

Purpose of the Study:

  • To test the hypothesis that departures from randomness in binary sequences are driven by coordination dynamics.
  • To model human-generated binary sequences using a discrete sine-circle coordination model.
  • To explore the relationship between randomness production and cognitive performance.

Main Methods:

  • 128 participants generated 1,600-trial binary button-press sequences.
  • Statistical analyses applied a discrete sine-circle version of the Haken, Kelso, Bunz bimanual coordination model.
  • Permutation analyses and recurrence quantification analysis were used to assess sequence properties.

Main Results:

  • Participant sequences were statistically identified with the coordination model, showing stable coordinative relationships.
  • Deviations from randomness were explained by a broader category of variability encompassing classical randomness.
  • The sine-circle model better approximated sequence dynamics than phase-randomized data.

Conclusions:

  • Human-generated binary sequences exhibit non-random patterns explained by coordination dynamics, specifically bimanual coordination attractors.
  • This finding suggests a departure from classical randomness towards a more inclusive variability framework.
  • The study advocates for non-reductive, physics-inspired approaches in cognitive systems research.