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Updated: May 16, 2026

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
Published on: July 16, 2015
Working memory capacity in a go/no-go task: age differences in interference, processing speed, and attentional
Odir Antonio Rodríguez-Villagra1, Katrin Göthe, Klaus Oberauer
1Department of Psychology, University of Potsdam, Potsdam, Germany. odir.rodriguez.villagra@uni-potsdam.de
Working-memory capacity (WMC) limits vary across the lifespan. Older adults show more interference and slower processing, while children experience higher noise and switch costs, impacting WMC differently.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Developmental Psychology
Background:
- Working-memory capacity (WMC) is crucial for cognitive function.
- Age-related differences in WMC are well-documented but underlying mechanisms require further investigation.
- The Interference Model (IM) provides a framework for understanding WMC limitations.
Purpose of the Study:
- To investigate age-related differences in working-memory capacity (WMC) using a memory-updating task.
- To examine the parameters of the Interference Model (IM) across different age groups (children, young adults, old adults).
- To identify age-specific contributions to WMC limitations.
Main Methods:
- A memory-updating task involving spatial position shifts with go and go/no-go conditions was administered.
- The Interference Model (IM) was fitted to data from all age groups.
- New parameter for switching costs between go and no-go steps was estimated and analyzed alongside standard IM parameters (feature overlap, noise, processing rate).
Main Results:
- No significant differences were found in interference by feature overlap and confusion between conditions.
- Switching costs were quantifiable and varied by age.
- Young adults and children exhibited less susceptibility to feature overlap interference than old adults.
- Noise levels were highest in children, followed by old and young adults.
- Old adults demonstrated lower processing rates compared to children and young adults.
- Children and old adults showed larger switch costs between go and no-go steps.
Conclusions:
- Interference Model (IM) parameters distinctly explain age-related differences in working-memory capacity (WMC).
- Age impacts susceptibility to interference, processing speed, and switching costs.
- Understanding these age-specific IM parameters is key to explaining WMC limitations across the lifespan.
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