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Updated: Jun 2, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
Published on: May 3, 2018
Strategies When Choosing Between Movement Options in a Sequential Task
Timothy N Welsh1, Feng Lin1, Joseph X Manzone1
1Faculty of Kinesiology & Physical Education, Centre for Motor Control, University of Toronto, Toronto, Canada.
When faced with sequential tasks, individuals prioritize actions with higher potential rewards. This study shows a preference for the maximum expected gain (MEG) first, guiding decision-making in sequential movement options.
Area of Science:
- Cognitive Psychology
- Motor Control
- Decision Science
Background:
- Previous research established that individuals select tasks with maximum expected gain (MEG) when choosing between two independent options.
- The current study investigates decision-making when tasks are performed sequentially (Task-A THEN Task-B).
Purpose of the Study:
- To determine if individuals prioritize the higher or lower MEG task when performing tasks sequentially.
- To explore the influence of spatial properties and reward values on sequential task selection.
Main Methods:
- Participants were presented with two target-penalty configurations varying in overlap and reward value.
- Participants imagined performing sequential aiming movements to both configurations and indicated their preferred initial target.
- Analysis focused on choices when MEGs differed and when they were similar.
Main Results:
- When MEGs differed, participants predominantly chose to aim for the configuration with the higher MEG first.
- When MEGs were similar, participants favored configurations with larger target regions (higher success probability) and greater penalties.
- Some individual strategy variations were observed.
Conclusions:
- The findings suggest a general strategy of performing tasks with higher potential gain before those with lower potential gain in sequential scenarios.
- Decision-making in sequential tasks is influenced by both expected gain and spatial success probability.
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