Evidence map›Paper›PMID 40282062›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

The Effect of Concurrent Auditory Working Memory Task in Auditory Category Learning.

Jie Wu, Jianghong Lu, Zixuan Che, Siying Li

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jie WuDepartment of Psychology, Fujian Normal University, Fuzhou 350117, China.ORCID 0009-0009-7826-3496
Jianghong LuDepartment of Psychology, Fujian Normal University, Fuzhou 350117, China.
Zixuan CheDepartment of Psychology, Fujian Normal University, Fuzhou 350117, China.
Siying LiFaculty of Education, Northeast Normal University, Changchun 130024, China.ORCID 0009-0002-1105-9262

Funding

the Ministry of Education of Humanities and Social Science Project 24YJC190014the Natural Science Foundation of Fujian Province 2023J05122the Social Science Foundation of Fujian Province FJ2022C029
6 · The paper itself

Abstract

In the auditory domain, the role of auditory working memory in shaping strategy selection and performance within both auditory rule-based and information-integration tasks remains unclear. To address this issue, the present study utilized a concurrent auditory working memory paradigm to investigate the impact of working memory on rule-based and information-integration category learning within the auditory domain. Additionally, we employed a categorization strategy model and drift-diffusion model to examine the impact of auditory working memory on auditory category learning. The categorization strategies model revealed that significantly more participants employed the optimal strategy in the control condition compared to the concurrent working memory condition in both the rule-based and information-integration tasks. Furthermore, given that most participants used the rule-based strategy in the information-integration task, the results showed a decrease in accuracy and an increase in reaction time for the concurrent working memory condition relative to the control condition in rule-based category learning. According to the drift-diffusion model, this decline observed under the concurrent working memory condition can be attributed to a reduction in information accumulation speed, increased cautious decision-making, and longer nondecision time. This study suggests that the concurrent working memory task interfered with participants' strategy selection and performance, with decreased performance in the concurrent working memory condition stemming from slower information accumulation and extended nondecision time for the rule-based strategy, while more cautious decision-making was related to the information-integration strategy.

Indexed as

auditory category learningauditory working memorydrift-diffusion modelinformation-integrationrule-based

Identifiers

PMID40282062
PMCPMC12024208

What OpenQuestion holds

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LicenceCC BY
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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.