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Generative AI tools receptivity promotes designer self perceived creativity through dual cognitive paths moderated by
1School of Artificial Intelligence, Zhejiang University, Hangzhou, China.
Scientific Reports
|July 15, 2026
Summary
Generative Artificial Intelligence Tools (GAIT) boost designer creativity by reducing cognitive load and increasing engagement. Technophobia levels influence these effects, highlighting the need for tailored AI integration strategies in design.
Area of Science:
- Human-Computer Interaction
- Cognitive Psychology
- Design Studies
Background:
- Generative Artificial Intelligence Tools (GAIT) are increasingly integrated into design workflows.
- Understanding the psychological mechanisms linking GAIT use to designer creativity is crucial.
- Conservation of Resources (COR) theory provides a framework for examining resource management in human-AI collaboration.
Purpose of the Study:
- To investigate the dual-path mechanisms through which designers' receptivity to GAIT influences their self-perceived creativity.
- To explore the moderating role of technophobia in the relationship between GAIT receptivity and creativity.
- To extend COR theory to the context of AI-assisted design and propose practical implementation strategies.
Main Methods:
- A structured survey was administered to 380 designers with experience using GAIT.
- Statistical analyses were employed to test the proposed dual-path mediation model.
- Moderation analysis was conducted to examine the role of technophobia.
Main Results:
- GAIT receptivity positively impacts self-perceived creativity through two mediating pathways: cognitive load reduction (Resource Protection Path) and increased cognitive engagement (Resource Investment Path).
- The influence of GAIT receptivity on creativity is asymmetrically moderated by designers' levels of technophobia.
- The findings support a dual-path cognitive model of creativity in AI-assisted design.
Conclusions:
- GAIT can enhance designer creativity by optimizing cognitive resources, but implementation must consider individual differences like technophobia.
- The study extends COR theory to AI-assisted design, offering a novel dual-path model.
- Practical recommendations include developing organizational strategies for GAIT adoption and competency-based training for design professionals to foster effective human-AI collaboration.
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