Testing working memory benefits long-term memory only when paired with re-exposure

Testing long-term memory (LTM) is well known to enhance subsequent retention beyond mere re-exposure effects. Recent evidence suggests that testing during working memory (WM) also boosts LTM performance. However, it remains unclear whether these WM testing benefits are a consequence of retrieval or reflect increased familiarity due to re-exposure. In this preregistered study, we aimed to distinguish between these two. Participants memorized four images in their corresponding locations for a subsequent WM test. During this test, an image was presented in one of the memory locations, and participants had to determine whether it matched the memory (retrieval and re-exposure) or not (retrieval but no re-exposure). In an additional color-task condition, the image was presented in a red or green frame, but now participants simply determined the frame color (re-exposure only). Finally, in a no-test condition, no test was presented at all (neither retrieval nor re-exposure). Following an interruption, participants then completed a surprise LTM test involving a two-alternative forced-choice test between one old and one new image. LTM accuracy was higher for an item from the match condition than from the color-task condition, indicating a benefit of WM testing beyond re-exposure. Re-exposure alone also enhanced performance compared to no test. However, LTM performance in the non-matching test condition was no better than the no-test condition, suggesting that testing without re-exposure did not enhance LTM. Together, these findings suggest that while re-exposure benefits retention by itself, testing in WM boosts LTM only when paired with re-exposure to the target item.

Authors

Institutions

Publication Details

Published
2026-11-04
DOI
https://doi.org/10.31234/osf.io/dgtm3
Primary Topic
Memory Processes and Influences
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Testing working memory benefits long-term memory only when paired with re-exposure

Caro Hautekiet, Christian N. L. Olivers, T. Letková
Memory Processes and Influences
preprint

Testing working memory benefits long-term memory only when paired with re-exposure

Caro Hautekiet, Christian N. L. Olivers, T. Letková
preprint en

Abstract

Testing long-term memory (LTM) is well known to enhance subsequent retention beyond mere re-exposure effects. Recent evidence suggests that testing during working memory (WM) also boosts LTM performance. However, it remains unclear whether these WM testing benefits are a consequence of retrieval or reflect increased familiarity due to re-exposure. In this preregistered study, we aimed to distinguish between these two. Participants memorized four images in their corresponding locations for a subsequent WM test. During this test, an image was presented in one of the memory locations, and participants had to determine whether it matched the memory (retrieval and re-exposure) or not (retrieval but no re-exposure). In an additional color-task condition, the image was presented in a red or green frame, but now participants simply determined the frame color (re-exposure only). Finally, in a no-test condition, no test was presented at all (neither retrieval nor re-exposure). Following an interruption, participants then completed a surprise LTM test involving a two-alternative forced-choice test between one old and one new image. LTM accuracy was higher for an item from the match condition than from the color-task condition, indicating a benefit of WM testing beyond re-exposure. Re-exposure alone also enhanced performance compared to no test. However, LTM performance in the non-matching test condition was no better than the no-test condition, suggesting that testing without re-exposure did not enhance LTM. Together, these findings suggest that while re-exposure benefits retention by itself, testing in WM boosts LTM only when paired with re-exposure to the target item.

Vrije Universiteit Amsterdam (NL)
Memory Processes and Influences
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon