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Application of Design Aspects in Uniaxial Loading Machine Development
05:23

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Published on: September 19, 2018

Influence of mechanical load on sequential effects.

Christoph Schütz1, Thomas Schack

  • 1Faculty of Psychology and Sports Science, Bielefeld University, Universitätsstrasse 25, PO Box 100 131, 33615 Bielefeld, Germany. christoph.schuetz@uni-bielefeld.de

Experimental Brain Research
|June 4, 2013
PubMed
Summary
This summary is machine-generated.

Human grasping behavior shows sequential effects, where past actions influence current choices. This study found that mechanical costs reduce these effects, indicating movements balance cognitive and physical demands.

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Area of Science:

  • Cognitive Neuroscience
  • Motor Control
  • Human Factors Engineering

Background:

  • Sequential effects in human grasping behavior were first described nearly two decades ago.
  • The plan-modification hypothesis suggests these effects minimize movement planning costs within a range of indifference.
  • Previous research focused on cognitive planning costs, not the interplay with mechanical costs.

Purpose of the Study:

  • To investigate if anticipated mechanical costs compete with movement planning costs, thereby reducing sequential effects.
  • To determine if motor commands are a weighted function of both cognitive and mechanical costs.
  • To explore the origins of sequential effects in movement selection.

Main Methods:

  • A sequential, perceptual-motor task involving opening drawers was employed.
  • Participants performed the task in a pre-/post-test design.
  • Mechanical costs were manipulated between the pre-test and post-test phases.

Main Results:

  • Participants exhibited a significant sequential effect in the pre-test for most drawers.
  • The sequential effect was significantly reduced in the post-test after mechanical cost manipulation.
  • Movement execution appears to be a weighted integration of cognitive and mechanical costs.

Conclusions:

  • Sequential effects in grasping behavior are modulated by mechanical costs, not solely by motor system dynamics.
  • Movement selection reflects a computational process balancing cognitive planning and mechanical execution costs.
  • This finding advances our understanding of how humans optimize motor behavior under varying cost conditions.