Factors Influencing the Adoption of Generative AI for Art Designing Among Chinese Generation Z: A Structural Equation Modeling Approach | IEEE Journals & Magazine | IEEE Xplore
In recent years, there has been a rapid progression in artificial intelligence (AI), leading to the emergence of AI-facilitated artistic production, which has gained significant acceptance and popularity in mainstream society. A notable application of AI in the graphic design field is the utilization of generative artificial intelligence (GenAI) platforms to create visual artwork. Platforms like Disco Diffusion, Midjourney Diffusion, and Stable Diffusion enable designers to swiftly generate visually appealing posters [1], [2]. Previous studies have demonstrated the beneficial impact of AI across various design stages and industries. For instance, researchers have proposed an artificial intelligence-aided design framework (AIAD) to optimize the design process and enhance designers’ creative abilities [3]. Additionally, [4] has shown that AI can assist application designers with their design work. Despite the potential advantages, many designers face barriers that hinder their effective
Explore this link on the map →