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Related Experiment Video

Updated: Nov 2, 2025

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
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A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

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Gotcha: Working memory prioritization from automatic attentional biases.

Susan M Ravizza1, Katelyn M Conn2

  • 1Department of Psychology, Michigan State University, 316 Physics Road, Room 285C, East Lansing, MI, 48824, USA. ravizzas@msu.edu.

Psychonomic Bulletin & Review
|June 16, 2021
PubMed
Summary
This summary is machine-generated.

Attention automatically prioritizes information in working memory (WM) through physical salience, statistical learning, and reward learning, expanding beyond strategic control. This research offers a comprehensive view of attention and WM interactions.

Keywords:
AttentionImplicit learningMemoryWorking memory

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Area of Science:

  • Cognitive Psychology
  • Neuroscience

Background:

  • Attention is crucial for prioritizing information in working memory (WM).
  • Existing research predominantly focuses on strategic attentional control for WM, overlooking automatic prioritization mechanisms.
  • Voluntary attentional control is only one aspect of how information is selected for WM.

Purpose of the Study:

  • To explore automatic prioritization processes in working memory.
  • To integrate findings from perception and working memory research.
  • To propose a more comprehensive model of the attention-working memory relationship.

Main Methods:

  • Literature review integrating studies on perception and working memory.
  • Discussion of automatic attentional prioritization mechanisms.

Main Results:

  • Information is automatically prioritized in WM via physical salience, statistical learning, and reward learning.
  • These automatic processes complement strategic attentional control.

Conclusions:

  • Automatic attentional prioritization plays a significant role in working memory.
  • A more sophisticated understanding of attention and working memory interactions is needed.
  • Future research should consider both strategic and automatic attentional processes.