Optimal Compensation for Temporal Uncertainty in Movement Planning
2008

Optimal Movement Timing

Sample size: 5 publication 10 minutes Evidence: high

Author Information

Author(s): Hudson Todd E., Maloney Laurence T., Landy Michael S., Friston Karl J.

Primary Institution: New York University

Hypothesis

How do humans plan movements considering temporal uncertainty?

Conclusion

Humans can nearly optimally compensate for their temporal uncertainty when planning movements.

Supporting Evidence

  • Subjects compensated for both natural and imposed temporal uncertainty.
  • The optimal model predicted movement times that maximized expected gain.
  • Bayesian model comparisons favored the optimal model over sub-optimal models.

Takeaway

This study shows that when people move, they can figure out the best time to do it, even if they're not sure how long it will take.

Methodology

Participants reached for a target on a screen while facing penalties for timing errors, allowing researchers to analyze their movement planning.

Potential Biases

Potential biases may arise from the limited participant pool and the specific context of the task.

Limitations

The study involved a small number of participants and specific task conditions that may not generalize to all movement scenarios.

Participant Demographics

Five participants, including one author, from New York University.

Statistical Information

P-Value

p<0.05

Confidence Interval

[0.85:1.03]

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pcbi.1000130

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