Exploring sustainable use intention of AIGC image enhancement technologies among designers

This study investigates designers’ sustainable use intention toward AIGC-assisted image enhancement technologies in low-light mural design. An extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework was developed to examine how image-related performance perceptions, facilitating conditions, and effort-related factors influence designer experience and sustainable use intention. Survey data from 557 designers were analyzed using a two-stage Structural Equation Modeling–Artificial Neural Network (SEM–ANN) approach. The SEM results indicate that facilitating conditions exert the strongest direct influence on sustainable use intention, while performance expectancy substantially influences designer experience. Resource and organizational support significantly contribute to facilitating conditions, whereas technological accessibility shows no significant effect. Designer experience and sustainable use intention are also positively associated with social influence. These findings highlight the importance of organizational and resource support alongside perceived technological performance, extending the application of UTAUT to AIGC-assisted creative design and providing practical guidance for image enhancement tool adoption.

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Publication Details

Journal
Scientific Reports
Published
2026-11-07
DOI
https://doi.org/10.1038/s41598-026-77876-w
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
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article

Exploring sustainable use intention of AIGC image enhancement technologies among designers

Bingqian Zhou, Binjie Wan, Yuxin Zhou
8 links
Scientific Reports
Technology Adoption and User Behaviour
article

Exploring sustainable use intention of AIGC image enhancement technologies among designers

Bingqian Zhou, Binjie Wan, Yuxin Zhou
article en

Abstract

This study investigates designers’ sustainable use intention toward AIGC-assisted image enhancement technologies in low-light mural design. An extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework was developed to examine how image-related performance perceptions, facilitating conditions, and effort-related factors influence designer experience and sustainable use intention. Survey data from 557 designers were analyzed using a two-stage Structural Equation Modeling–Artificial Neural Network (SEM–ANN) approach. The SEM results indicate that facilitating conditions exert the strongest direct influence on sustainable use intention, while performance expectancy substantially influences designer experience. Resource and organizational support significantly contribute to facilitating conditions, whereas technological accessibility shows no significant effect. Designer experience and sustainable use intention are also positively associated with social influence. These findings highlight the importance of organizational and resource support alongside perceived technological performance, extending the application of UTAUT to AIGC-assisted creative design and providing practical guidance for image enhancement tool adoption.

Scientific Reports
Zhoukou Normal University (CN), Hanyang University (KR)
Openalex Percentile: Top 15%
Technology Adoption and User Behaviour
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