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Understanding designers' switching intention to AI painting tools using the PPM framework
1College of Art and Design, Shaanxi University of Science and Technology, Xi'an, 710021, China.
Scientific Reports
|January 17, 2025
Summary
Designers are switching to artificial intelligence (AI) painting tools primarily due to their attractiveness, with switching costs and dissatisfaction with traditional tools also playing roles. Perceived pleasantness enhances AI tool appeal, while habits increase switching costs.
Area of Science:
- Design Studies
- Human-Computer Interaction
- Artificial Intelligence
Background:
- The rapid emergence of AI painting tools is transforming creative industries.
- Limited research exists on designers' specific intentions to adopt these AI tools.
Purpose of the Study:
- To investigate the factors influencing designers' switching intentions toward AI painting tools.
- To apply the push-pull-mooring framework to understand adoption motivations.
Main Methods:
- A research model based on the push-pull-mooring framework was developed.
- Data were collected from 320 Chinese designers.
- Structural equation modeling was used for data analysis.
Main Results:
- AI painting tool attractiveness was the primary driver of switching intentions.
- Switching costs and dissatisfaction with traditional tools were secondary factors.
- Perceived pleasantness positively influenced AI tool attractiveness; habits increased switching costs.
Conclusions:
- AI painting tool adoption is influenced by a combination of tool appeal, user-specific costs, and existing tool dissatisfaction.
- Findings offer empirical evidence for AI tool development and design industry evolution.
- Recommendations are provided for enhancing AI tool creativity and appeal for designers.
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