Improving Memory Search Through Model-Based Cue Selection

Author:

Cornell Charlotte A.1,Norman Kenneth A.2,Griffiths Thomas L.23,Zhang Qiong14

Affiliation:

1. Department of Psychology, Rutgers University–New Brunswick

2. Department of Psychology, Princeton University

3. Department of Computer Science, Princeton University

4. Department of Computer Science, Rutgers University–New Brunswick

Abstract

We often use cues from our environment when we get stuck searching our memories, but prior research has failed to show benefits of cuing with other, randomly selected list items during memory search. What accounts for this discrepancy? We proposed that cues’ content critically determines their effectiveness and sought to select the right cues by building a computational model of how cues affect memory search. Participants ( N = 195 young adults from the United States) recalled significantly more items when receiving our model’s best (vs. worst) cue. Our model provides an account of why some cues better aid recall: Effective cues activate contexts most similar to the remaining items’ contexts, facilitating recall in an unsearched area of memory. We discuss our contributions in relation to prominent theories about the effect of external cues.

Funder

National Science Foundation

Rutgers University–New Brunsiwck

Publisher

SAGE Publications

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1. Decoding EEG for optimizing naturalistic memory;Journal of Neuroscience Methods;2024-10

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