Evidence map›Paper›PMID 42707112›Full record

ArticleFrontiers in psychology2026

The influence of designer identity on design majors' intention to use AIGC tools: an SEM-fsQCA analysis in China.

Yaosheng Zhang, Yiping Luo

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.

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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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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.

Yaosheng ZhangArt Design Department, Shangyu College, Shaoxing University, Shaoxing, China.
Yiping LuoArt Design Department, Shangyu College, Shaoxing University, Shaoxing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As AIGC is increasingly integrated into design education and professional practice, understanding the factors that drive design majors' intention to use these tools has become an important issue. Existing studies have primarily explained technology adoption from cognitive and utilitarian perspectives, while paying limited attention to the role of designer identity. Methods: Drawing on Social Identity Theory (SIT), Innovation Diffusion Theory (IDT), and Innovation Resistance Theory (IRT), this study proposes an integrated theoretical model to examine how designer identity influences design majors' intention to use AIGC tools. Survey data were collected from 615 design majors in China and analyzed using structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). Results: The results show that designer identity positively predicts intention to use AIGC tools both directly and indirectly through innovativeness and self-efficacy. In addition, perceived ease of use negatively moderates the relationship between designer identity and the intention to use AIGC tools, suggesting that highly accessible tools may sometimes raise concerns about professional distinctiveness among design majors with a strong designer identity. The fsQCA results further reveal three pathways associated with high intention to use AIGC tools: the Identity-Driven Innovation Pattern, the Identity-Driven Exploration Pattern, and the Tool-Empowered Pattern. Conclusion: This study contributes to the literature by introducing a professional identity-based lens to AIGC tool adoption research and demonstrating how designer identity, innovativeness, self-efficacy, and perceived ease of use jointly shape design majors' engagement with emerging design technologies. The findings also provide practical implications for design education seeking to balance technological competence with the development of designer identity.

Indexed as

AIGC toolsdesigner identitydesign majorsinnovativenessintention to useperceived ease of useself-efficacy

Identifiers

PMID42707112
PMCPMC13547067

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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.