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Related Experiment Video

Updated: Mar 19, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
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Motor sequences resist automatization as attentional demands increase with sequence learning.

Stephan Frederic Dahm1, Veit Kraft2, Markus Martini3

  • 1Universität Innsbruck, Department of Psychology, Faculty of Psychology and Sports Sciences, Innsbruck, Austria. stephan.dahm@uibk.ac.at.

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Summary

Learning motor sequences becomes automatic with practice. This study found intentional instructions and visual cues improved sequence learning, but deeper encoding prolonged attention demands, even with extensive practice.

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Area of Science:

  • Cognitive Psychology
  • Motor Learning
  • Neuroscience

Background:

  • Automatization of motor sequences transitions from effortful to fluent performance with practice.
  • Understanding factors influencing sequence automatization is crucial for skill acquisition research.

Purpose of the Study:

  • To investigate how learning cues and instructions affect sequence-specific automatization.
  • To examine the impact of intentional versus incidental learning and visual cues on motor sequence learning.

Main Methods:

  • A modified serial reaction time task with temporally spaced stimuli was used.
  • Participants practiced a sequence over ten sessions under four conditions (instruction and cue variations).
  • Performance was assessed using single- and dual-task conditions for trained and control sequences.

Main Results:

  • Robust sequence learning was observed, indicated by faster reaction times for trained sequences.
  • Intentional instruction, especially with visual cues, significantly enhanced learning.
  • Dual-task costs unexpectedly decreased for control sequences but increased for trained sequences.

Conclusions:

  • Deeper sequence encoding, linked to superior learning and explicit knowledge, may prolong attentional demands.
  • The findings suggest a complex interplay between practice, instruction, and attentional resource allocation in motor automatization.