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Related Experiment Videos

Capacity demands of automatic processes in semantic priming

A Henik1, F J Friedrich, J Tzelgov

  • 1Department of Behavioral Sciences, Ben-Gurion University of the Negev, Beer-sheva, Israel.

Memory & Cognition
|March 1, 1994
PubMed
Summary

Semantic priming effects depend on task demands. Naming primes consistently yielded priming, while letter search tasks only showed priming when related items were frequent, suggesting resource allocation influences semantic processing.

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Area of Science:

  • Cognitive Psychology
  • Experimental Psychology

Background:

  • Semantic priming is a phenomenon where exposure to one stimulus influences the response to a subsequent stimulus.
  • The efficiency of semantic priming can be modulated by various experimental factors, including task demands and stimulus properties.

Purpose of the Study:

  • To investigate how stimulus onset asynchrony (SOA) and relatedness proportion (RP) affect semantic priming.
  • To compare priming effects when the prime stimulus is named versus when it is searched for a specific letter.

Main Methods:

  • Three experiments were conducted manipulating SOA, RP, and prime task (naming vs. letter search).
  • Participants performed semantic priming tasks with varying prime-target intervals and proportions of related word pairs.
  • Response times and accuracy were measured to assess priming effects.

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Main Results:

  • Naming the prime consistently resulted in semantic priming across different SOAs and RPs.
  • Priming effects in the letter search task were observed only when the proportion of related prime-target pairs was high (RP = .80).
  • Lower relatedness proportions (RP = .20) eliminated priming in the letter search task, regardless of SOA.

Conclusions:

  • The findings suggest that task demands significantly influence the allocation of limited cognitive resources.
  • Semantic priming is more robust under conditions that facilitate automatic processing (naming) or when high relatedness guides attentional focus.
  • The results highlight the interplay between controlled and automatic processes in semantic memory retrieval.