Evidence map›Paper›PMID 42495204›Full record

ArticleFrontiers in psychology2026

Cognitive capability and behavioral exposure in generative AI use: a dual-pathway model of perceived facilitation and integrity-related risk.

Song Mu, Bo Wang, Juan Xiong, Yuqing Xie, Weijian Hu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Song MuGuangzhou College of Technology and Business, Guangzhou, China.
Bo WangGuangdong University of Finance & Economics, Guangzhou, China.
Juan XiongGuangzhou College of Technology and Business, Guangzhou, China.
Yuqing XieGuangzhou College of Technology and Business, Guangzhou, China.
Weijian HuGuangzhou College of Technology and Business, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid adoption of generative artificial intelligence (GenAI) has introduced new forms of cognitive support as well as potential behavioral risks in academic contexts. Rather than treating AI use as a purely homogeneous phenomenon, this study conceptualizes GenAI engagement through a psychological dual-pathway framework that explicitly separates capability-oriented AI familiarity from exposure-based AI use frequency. We examine how these distinct pathways map onto perceived cognitive facilitation, cognitive reliance, and integrity-related behavioral risk. Data were collected from two independent samples of university students (

Indexed as

academic integrityAI familiaritygenerative artificial intelligencemeasurement invariancestructural equation modelling

Identifiers

PMID42495204
PMCPMC13391573

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.