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Related Experiment Video

Updated: Apr 3, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

Choosing difficulty: Self-determined versus assigned tasks in motor sequence learning.

Patrick Beißel¹, Tobias Huber², Martin Nowak³

¹Institute of Sports Sciences, University of Augsburg, Universitätsstraße 3, 86159 Augsburg, Germany.

Human Movement Science

|April 1, 2026

Summary

This summary is machine-generated.

Autonomy support, as proposed by the OPTIMAL theory of motor learning, did not significantly enhance implicit motor sequence learning in a complex bimanual task. Results suggest motivational factors may not impact complex skill acquisition.

Keywords:

Autonomy support Complex task Implicit motor learning OPTIMAL theory SRT task Sequence learning Task integration

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Last Updated: Apr 3, 2026

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Area of Science:

Motor learning
Cognitive psychology
Human movement science

Background:

The OPTIMAL theory of motor learning posits that autonomy support enhances motor skill acquisition.
Research has yielded mixed results regarding the motivational impacts on motor learning.
Implicit motor sequence learning is crucial for complex, everyday movements.

Purpose of the Study:

To investigate the impact of autonomy-supportive versus low-autonomy conditions on implicit motor sequence learning.
To test the predictions of the OPTIMAL theory in the context of a complex, bimanual task.
To examine if providing task-relevant choices influences learning outcomes.

Main Methods:

Participants engaged in a virtual reality serial reaction time (SRT) task involving a complex, bimanual sequence.
Three groups were compared: autonomy-supportive, yoked control, and low-autonomy instructor.
Control over task difficulty was manipulated as a measure of autonomy.

Main Results:

All participant groups successfully learned the target motor sequence.
No significant differences in learning were observed between the autonomy-supportive and control groups.
The motivational effects of autonomy support appeared negligible for this complex task.

Conclusions:

Autonomy support, as defined by the OPTIMAL theory, did not yield significant benefits for implicit motor sequence learning in this study.
The findings challenge the broad applicability of the OPTIMAL theory's motivational tenets to all motor learning contexts, especially complex skills.
Future research should explore moderators that might influence the relationship between autonomy and motor learning.