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Related Experiment Video

Updated: Mar 13, 2026

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Local probability effects of repeating irrelevant attributes.

Wolf Schwarz1, Dennis Reike2

  • 1Department of Psychology, University of Potsdam, PO Box 60 15 53, 14415, Potsdam, Germany. wschwarz@uni-potsdam.de.

Attention, Perception & Psychophysics
|October 15, 2016
PubMed
Summary
This summary is machine-generated.

Participants use previous trial's irrelevant attribute information to prepare for the current trial. High repetition probability (π = 0.75) led to faster responses with repetition, while low probability (π = 0.25) favored alternation, demonstrating expectancy effects in cognitive tasks.

Keywords:
ExpectancyFiltering tasksLocal stimulus probabilityRepetition effectSNARC effectSimon effect

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Area of Science:

  • Cognitive Psychology
  • Human Information Processing
  • Experimental Psychology

Background:

  • Cognitive tasks often involve stimuli with multiple attributes.
  • Understanding how irrelevant information influences performance is crucial for cognitive models.
  • Previous research on filtering tasks has not extensively explored the impact of irrelevant attribute transition probabilities.

Purpose of the Study:

  • To investigate the influence of irrelevant attribute repetition probability on response times.
  • To examine if expectancy effects arise from the irrelevant attribute of the previous trial.
  • To determine if these effects generalize across different task types (visual-spatial and semantic).

Main Methods:

  • Two experiments were conducted using a novel design manipulating the local transition probability (π) of irrelevant attributes.
  • Experiment 1: Visual Simon task (color relevant, location irrelevant).
  • Experiment 2: Semantic classification task (digit parity relevant, magnitude irrelevant).

Main Results:

  • Participants responded faster when the irrelevant attribute repeated in the π = 0.75 condition.
  • Participants responded faster (Exp 1) or equally fast (Exp 2) when the irrelevant attribute alternated in the π = 0.25 condition.
  • These expectancy-related effects were independent of response-relevant attributes and congruency.

Conclusions:

  • Information from the irrelevant attribute of the preceding trial acts as a precue, influencing preparation.
  • This precuing effect leads to benefits and costs similar to those observed in standard cueing paradigms.
  • Cognitive systems dynamically adapt to statistical regularities in the environment, even for non-task-relevant information.