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Published on: September 11, 2021
Rapid instructed task learning (but not automatic effects of instructions) is influenced by working memory load
Maayan Pereg1, Nachshon Meiran1
1Department of Psychology and Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Rapid Instructed Task Learning (RITL) requires working memory (WM), but automatic instruction effects do not. This study shows WM load impairs RITL but not automatic rule activation, suggesting distinct neural mechanisms.
Area of Science:
- Cognitive Neuroscience
- Psychology
Background:
- Rapid Instructed Task Learning (RITL) and automatic instruction effects are crucial for immediate task performance.
- Working memory (WM) is hypothesized to support both RITL and automaticity, but evidence is mixed.
- Understanding the distinct roles of WM in these processes is key to cognitive function.
Purpose of the Study:
- To investigate the role of working memory (WM) load in Rapid Instructed Task Learning (RITL) and instruction-based automaticity.
- To examine whether increased WM load differentially affects rule implementation versus automatic rule activation.
- To clarify the cognitive mechanisms underlying immediate task learning and automatic responses to instructions.
Main Methods:
- Manipulated WM load by varying the number of novel task rules presented.
- Utilized the NEXT paradigm with mini-blocks including instruction, NEXT (automatic activation), and GO (RITL) phases.
- Measured performance in RITL and automatic rule activation under different WM load conditions across three experiments.
Main Results:
- Increased WM load significantly impaired Rapid Instructed Task Learning (RITL), indicating difficulty in rule implementation.
- Automatic effects of instructions, measured during the NEXT phase, were not robustly influenced by increased WM load.
- A dissociation was observed: RITL performance was sensitive to WM load, while automatic instruction effects were not.
Conclusions:
- Working memory resources are critical for the implementation of instructed rules (RITL) but not for the automatic activation of those rules.
- These findings suggest distinct neural or cognitive mechanisms underlying RITL and instruction-based automaticity.
- The results challenge the notion that WM uniformly supports all aspects of immediate task learning and instruction processing.
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