Analyzing AI-Generated Packaging's Impact on Consumer Satisfaction With Three Types of Datasets

Ai-Generated Packaging Design Technology

Early computer-aided design integrated product style design, colors, graphics, fonts, and other elements to complete packaging designs, representing some progress in terms of improving design efficiency. However, due to limitations in the hardware and software, there were no significant breakthroughs in terms of creativity. However, in recent years with the emergence of AI and the rise of deep learning, there has been a rapid development in the generation of creative content through AI. AI has been used to create and generate text, images, audio and video, design, and other content (Dadman, 2023; Li et al., 2023; Malsattar et al., 2019; Tang et al., 2019), and it has been applied in fields like poetry, painting, music composition, posters, clothing, and architecture. Compared with purely human-based design, AI-generated design does a better job of reducing labor costs and improving production efficiency (Verganti et al., 2020; Zhang, 2022). In the field of cosmetic packaging, in particular, due to the huge demand for packaging design and the rapid frequency with which design styles are updated, using AI-generated packaging design technology properly can help reduce packaging development costs.