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Updated: Apr 18, 2026

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
Published on: September 20, 2020
The influence of training and experience on memory strategy
John Patrick1, Phillip L Morgan, Victoria Smy
1School of Psychology, Cardiff University, Cardiff, CF10 3AT, UK, PatrickJ@cardiff.ac.uk.
Prior training can significantly influence strategy deployment, overriding task environment constraints. Experience with information access costs, even briefly, promotes more memory-based strategies.
Area of Science:
- Cognitive Psychology
- Human-Computer Interaction
- Decision Science
Background:
- The theory of soft constraints posits that task environment constraints shape strategy deployment.
- Increased information access costs are theorized to promote memory-based strategies involving enhanced encoding and planning.
Purpose of the Study:
- To investigate if and how prior training and experience override task environment constraints on strategy deployment.
- To provide evidence relevant to the theory of soft constraints.
Main Methods:
- Experiments 1 and 3 used a Blocks World Task with a training-transfer design, manipulating information access delays.
- Experiment 2 examined scenarios where training access cost differed from transfer trials.
- Experiment 4 employed an intra-trial design to assess the impact of repeated experience with access costs.
Main Results:
- Training with an information access delay demonstrated a substantial carry-over effect, increasing memory-based strategy use in transfer trials.
- The carry-over effect was not observed when training access cost was less than in transfer trials.
- Experiencing access cost on two consecutive occasions within a trial was sufficient to induce a more memory-based strategy.
Conclusions:
- Prior training and experience significantly influence strategy deployment, supporting the theory of soft constraints.
- The findings highlight the adaptive nature of strategy selection in response to experienced costs.
- Practical implications for designing training protocols and understanding human-AI interaction are discussed.
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