The impact of Aigc design features on user creativity
The mediating roles of cognitive flexibility and cognitive persistence
Bibliographic Data
| ID | 9406641 |
|---|---|
| Authors | Zhixun Chen (Sejong University), Zihan Li (0000-0002-7075-1403, Beijing Institute of Technology), Ying Qu (0000-0003-1756-274X, Keio University, corresponding author) |
| Year | 2026 |
| Volume | 264 |
| Pages | 106425-106425 |
| Publication date | 2026-02-06 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Acta Psychologica (JOURNAL) |
| Journal identifiers | ISSN: 0001-6918 • E-ISSN: 1873-6297 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.actpsy.2026.106425 |
| PMID | 41653768 |
| OpenAlex | W7128168644 |
| Language | EN |
| Citations received | 1 |
| References cited | 88 |
With the rapid development of artificial intelligence, Artificial Intelligence generated content (AIGC) has been increasingly applied in the design industry and has become an important tool for enhancing user efficiency. However, the impact of AIGC interaction design features on user creativity remains insufficiently examined. Based on the Stimulus Organism Response model and the Dual Pathway to Creativity Model (DPCM), this study constructs a theoretical framework that identifies intelligence, anthropomorphism, stylistic diversity, and interactivity as independent variables, and cognitive flexibility and cognitive persistence as mediating variables. Data were collected from 504 Chinese users who work in the design field with experience using AIGC tools and analyzed through Partial Least Squares Structural Equation Modeling. Results show that the four design features significantly influence user creativity and that cognitive flexibility and cognitive persistence mediate these relationships. Notably, interactivity demonstrated the strongest direct effect, suggesting that highly interactive AIGC tools are particularly effective in stimulating creative production. The study provides theoretical and practical insights for optimizing AIGC tools, improving user creative experiences, and promoting creativity developments in both AIGC applications and the design industry
Cognition · Cognitive flexibility · Creativity · Flexibility (engineering · Interactivity · Persistence (discontinuity · Innovative Human-Technology Interaction · Personal Information Management and User Behavior · Usability and User Interface Design
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| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |