Evidence map›Paper›PMID 42317694›Full record

ArticleFrontiers in psychology2026

Where does the bias begin? Cognitive processing differences in the aesthetic evaluation of AI-generated art.

Yongquan Wang, Yiwei Cao, Jingnan Cai, Bin Sun

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

4 authors.

Yongquan WangSchool of Theater, Film and Television, Communication University of China, Beijing, China.
Yiwei CaoSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China.
Jingnan CaiSchool of Theater, Film and Television, Communication University of China, Beijing, China.
Bin SunSchool of Theater, Film and Television, Communication University of China, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drawing on the Pleasure-Interest Model of Aesthetic Liking (PIA model), we investigated whether the negative bias toward AI-generated art arises primarily during perceiver-driven controlled processing rather than stimulus-driven automatic processing. Across three experiments in which all presented artworks were exclusively AI-generated while only the creator labels were manipulated, we showed that this bias does not primarily stem from rapid, stimulus-driven automatic processing. Instead, it emerges predominantly during controlled processing. The results indicated that the negative bias was markedly smaller under conditions favoring automatic processing than under conditions inducing controlled processing. Moreover, providing interpretive semantic cues-brief textual descriptions that support meaning construction during controlled processing-significantly mitigated the bias against AI-generated art.

Indexed as

aestheticsartificial intelligencecomputer-generated artdual-process theoriesmeaning construction

Identifiers

PMID42317694
PMCPMC13272005

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.