Improving Memory Search Through Model-Based Cue Selection

Charlotte A. Cornell, Kenneth A. Norman, Thomas L. Griffiths, Qiong Zhang

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)55-71
Number of pages17
JournalPsychological Science
Volume35
Issue number1
DOIs
StatePublished - Jan 2024

All Science Journal Classification (ASJC) codes

  • General Psychology

Keywords

  • computational modeling
  • cues
  • free recall
  • memory search
  • open data
  • open materials
  • part-set cuing
  • preregistered

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