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  3. Strategies When Choosing Between Movement Options In A Sequential Task.
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  3. Strategies When Choosing Between Movement Options In A Sequential Task.

Related Experiment Video

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

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.

Journal of Motor Behavior
|May 31, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

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.

Keywords:
action selectiondecision makingindividual differencesprecrastination

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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.