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The trajectory of the target probability effect.

Nicholas Hon1, Melvin J Yap, Syaheed B Jabar

  • 1Department of Psychology, National University of Singapore, 9 Arts Link, Singapore 117570, Singapore. psyhonn@nus.edu.sg

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|February 14, 2013
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Detection times for low-probability targets slow down as an experiment progresses, increasing the target probability effect. This finding challenges existing theories on detection performance.

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Area of Science:

  • Cognitive Psychology
  • Human Performance
  • Experimental Psychology

Background:

  • The target probability effect demonstrates that lower probability targets are detected more slowly than higher probability targets, even with high accuracy.
  • Previous research has primarily focused on the existence of this effect, with less attention paid to its temporal dynamics within an experiment.

Purpose of the Study:

  • To investigate how the target probability effect on detection times evolves throughout an experimental session.
  • To determine whether changes in detection times for low- or high-probability targets drive the effect's development.

Main Methods:

  • Conducted two detection experiments varying target probability ratios.
  • Utilized block segment analysis and linear mixed-effects modeling to analyze detection times.
  • Examined performance trajectories for both low- and high-probability targets across trial blocks.

Main Results:

  • The magnitude of the target probability effect significantly increases as participants progress through experimental blocks.
  • This increase is primarily driven by a slowing detection time for low-probability targets over the course of a block.
  • Detection times for high-probability targets remained relatively consistent throughout the experimental blocks.

Conclusions:

  • The target probability effect is not static but dynamically develops within an experiment, largely due to accumulating costs associated with low-probability targets.
  • Findings suggest that models of the target probability effect should account for temporal changes and the specific role of low-probability target processing.
  • The invariance of high-probability target performance challenges theories positing high-probability targets as the sole drivers of the observed effect.