Evidence map›Paper›PMID 42453448›Full record

ArticleFrontiers in psychology2026

Stimulating or constraining creativity? Traditional vs. generative AI on divergent thinking in product design.

Huan Lin, Letian Xie

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.

Huan LinCollege of Mechanical Engineering, Quzhou University, Quzhou, China.
Letian XieCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The rise of generative AI (GenAI) has brought both opportunities and challenges to product design, raising the question of whether it stimulates or constrains creativity. This study empirically examines the effects of traditional and GenAI-assisted ideation methods on cognitive creativity and perceived creativity support during the divergent thinking stage of product design. Methods: Focusing on both the creativity of design outcomes and designers' self-reported user experience, a mixed-methods experiment was conducted with 41 sophomore students majoring in product design. Three ideation methods were compared: unaided, Internet-assisted, and GenAI-assisted. Results: The results revealed that, among novice product design students, traditional methods more effectively enhanced divergent thinking performance, whereas GenAI-assisted methods significantly improved designers' perceived creative support, specifically on usability, exploration, and immersion during the ideation process. Moreover, no significant differences were observed among participants with varying levels of creative tendency. Discussion: These findings suggest that, although GenAI has not yet surpassed traditional approaches in generating highly original design outcomes, it serves an important facilitative role in design education by enriching learners' creative perception and affective engagement. The study provides empirical evidence for the thoughtful integration of GenAI into the design process and highlights the need for future research on optimizing human-AI collaboration to augment, rather than replace, human creativity in design learning and practice.

Indexed as

creativitydivergent thinkinggenerative AIideation methodsproduct design

Identifiers

PMID42453448
PMCPMC13365035

What OpenQuestion holds

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LicenceCC BY
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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.