Evidence map›Paper›PMID 42369299›Full record

ArticleFrontiers in psychology2026

The association between perceived usefulness of AI-generated art tools and self-reported creative design performance: a parallel mediation model of artistic perception, cognitive engagement, and aesthetic judgment.

Zhang Guosheng, Meng Lei

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. Not yet cited in PubMed.

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

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

2 authors.

Zhang GuoshengArt College, Qilu Normal University, Jinan, China.
Meng LeiArt College, Qilu Normal University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The rapid expansion of AI-generated art tools has transformed creative production, yet its psychological mechanisms in shaping design outcomes remain underexplored. This study examines the associations between perceived usefulness of AI-generated art tools and self-reported creative design performance through three parallel mediating pathways: artistic perception, cognitive engagement, and aesthetic judgment. Methods: Guided by aesthetic processing and cognitive engagement theories, a questionnaire survey was administered to Chinese university students enrolled in design-related programs, generating 387 valid responses. Data were analyzed using partial least squares structural equation modeling. Results: The results show that perceived usefulness of AI-generated art tools is positively associated with all three mediators, each of which is positively associated with self-reported creative design outcomes. Cognitive engagement emerged as the strongest mediator, followed by aesthetic judgment and artistic perception. A significant direct effect also remained, indicating partial mediation. The overall model explained 53.2 percent of the variance in self-reported creative design performance, demonstrating both strong explanatory power and meaningful predictive relevance. Discussion: These findings highlight the multifaceted ways in which perceived usefulness of AI-generated art tools is associated with the perceptual, cognitive, and evaluative processes that underpin creative design, offering valuable implications for design education, digital creativity research, and the integration of AI tools in creative industries.

Indexed as

aesthetic judgmentartistic perceptioncognitive engagementmediation modelperceived usefulness of AI-generated art toolsself-reported creative design performance

Identifiers

PMID42369299
PMCPMC13293845

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.