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How do reaching and walking costs affect movement path selection?

Cory Adam Potts1, Chloe Callahan-Flintoft2, David A Rosenbaum3

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People exhibit pre-crastination, completing tasks early. However, when reaching and walking are involved, individuals prioritize minimizing reaching effort over walking distance, even if it means more overall effort.

Keywords:
Decision-makingReachingWalking

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Area of Science:

  • Cognitive Psychology
  • Motor Control
  • Human Decision-Making

Background:

  • Reaching and walking are fundamental human movements, typically coordinated but understudied in conjunction.
  • Pre-crastination, the tendency to expedite task completion, has been observed in previous studies involving object carrying.
  • Prior research on pre-crastination revealed a surprising preference for carrying closer objects, despite longer overall travel.

Purpose of the Study:

  • To investigate decision-making in the context of reaching and walking coordination.
  • To examine how individuals balance reaching effort against walking effort in task completion.
  • To determine the limits of pre-crastination when faced with varying physical costs.

Main Methods:

  • Participants made decisions about carrying buckets, with manipulated reach distances, bucket weights, and walking distances.
  • Experiment design focused on quantifying sensitivity to reaching and carrying effort.
  • Behavioral data analyzed to understand trade-offs between different physical costs.

Main Results:

  • Participants were willing to extend reach for shorter walking distances with empty buckets.
  • Increased reaching and carrying costs shifted prioritization towards minimizing reach distance.
  • Decision-making demonstrated a limit to incurring costs for early sub-goal completion.

Conclusions:

  • Pre-crastination is a robust behavioral tendency, influencing task initiation.
  • The willingness to pre-crastinate is constrained by the magnitude of physical effort required for reaching and carrying.
  • Individuals strategically balance different physical costs to optimize task completion, prioritizing shorter reaches under higher load.