Evidence map›Paper›PMID 33733433›Full record

ArticleMemory & cognition2021

Multiple components of statistical word learning are resource dependent: Evidence from a dual-task learning paradigm.

Tanja C Roembke, Bob McMurray

Abstract read
In one paragraph

Article in Memory & cognition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Tanja C RoembkeJaegerstrasse 17-19, Institute of Psychology, RWTH Aachen University, 62062, Aachen, Germany. tanja.roembke@psych.rwth-aachen.de.ORCID 0000-0003-3932-1488
Bob McMurrayDepartments of Psychological and Brain Sciences, Communication Sciences and Disorders, and Linguistics, University of Iowa, Iowa City, IA, USA.

Funding

The Development of Real Time Spoken and Written Word Recognition: Cognitive Bases of Language and Educational OutcomesR01DC008089 · NIDCD · UNIVERSITY OF IOWA · PI MCMURRAY, BOB · 2007 to 2023
$7.3M
NIDCD NIH HHS R01 DC008089
6 · The paper itself

Abstract

It is increasingly understood that people may learn new word/object mappings in part via a form of statistical learning in which they track co-occurrences between words and objects across situations (cross-situational learning). Multiple learning processes contribute to this, thought to reflect the simultaneous influence of real-time hypothesis testing and graduate learning. It is unclear how these processes interact, and if any require explicit cognitive resources. To manipulate the availability of working memory resources for explicit processing, participants completed a dual-task paradigm in which a cross-situational word-learning task was interleaved with a short-term memory task. We then used trial-by-trial analyses to estimate how different learning processes that play out simultaneously are impacted by resource availability. Critically, we found that the effect of hypothesis testing and gradual learning effects showed a small reduction under limited resources, and that the effect of memory load was not fully mediated by these processes. This suggests that neither is purely explicit, and there may be additional resource-dependent processes at play. Consistent with a hybrid account, these findings suggest that these two aspects of learning may reflect different aspects of a single system gated by attention, rather than competing learning systems.

Indexed as

Verbal LearningCuesHumansMemory, Short-TermProbabilityCross-situational word learningDual systems accounts of learningDual-task paradigmImplicit learningPropose-but-verify

Identifiers

PMID33733433
PMCPMC8238696

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.