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Resource depletion promotes automatic processing: implications for distribution of practice.

Matthew H Scheel1

  • 1University of Nevada, Reno, USA. mscheel@carrollu.edu

Psychological Reports
|February 18, 2011
PubMed
Summary
This summary is machine-generated.

Cognitive processing involves automatic and controlled systems. Resource depletion from practice enhances automatic processing, leading to faster but error-prone performance, suggesting practice effects depend on resource availability.

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Area of Science:

  • Cognitive Psychology
  • Cognitive Neuroscience
  • Human Performance

Background:

  • Cognitive models propose two systems: automatic (associative, intuitive) and controlled (deliberate).
  • Automatic processing is resource-efficient and favored during resource depletion.
  • Understanding the interplay between cognitive resources and processing modes is crucial.

Purpose of the Study:

  • To investigate if resource depletion from practice influences cognitive processing modes.
  • To examine the impact of prolonged practice on automatic vs. controlled processing.
  • To determine if practice distribution effects are mediated by cognitive resource availability.

Main Methods:

  • Participants engaged in a resource-depleting mental arithmetic task.
  • Subsequent problem-solving task performance was assessed for speed and accuracy.
  • Practice distribution (0-180 sec. intervals) was manipulated in relation to a rigidity task.

Main Results:

  • Prolonged practice on a resource-depleting task led to faster, more error-prone performance on a subsequent task, indicating enhanced automatic processing.
  • Distribution of practice effects on rigidity diminished when cognitive resource availability was equalized across groups.
  • These findings suggest practice distribution effects are contingent on available cognitive resources.

Conclusions:

  • Cognitive resource availability significantly modulates the balance between automatic and controlled processing.
  • Practice effects previously attributed to distribution may be explained by underlying resource depletion.
  • This research offers implications for understanding cognitive performance and learning under varying resource conditions.