Analysis of Meta Fashion Item Characteristics and 3D Digital Clothing Programs -Focusing on ZEPETO Platform -

Abstract

Digital clothing has emerged as a new form of creative self-expression, transcending the boundaries of physical clothing. ZEPETO, a global metaverse platform by Naver, enables users to engage with customized avatars, fueling the rise of digital fashion. This study explores the characteristics of digital clothing items on ZEPETO and offers insights into user-friendly digital clothing creation by comparing the 3D modeling software Blender and Maya. A total of 4,875 digital clothing items sold on ZEPETO were analyzed and classified by type, color, pattern, and fashion sensibility. In addition, the functions, interfaces, and modeling capabilities of Blender and Maya were examined. Key findings include differences in color distribution across categories, with achromatic tones being prominent. The main patterns used in digital clothing reflected the characteristics of the items, and various patterns were observed. In terms of fashion sensibility, active sensibility was the most prevalent, while collaborative items were significantly influenced by brand characteristics, particularly in color and pattern choices. Blender, as an open-source tool, offers extensive customization and supports various 3D operations, whereas Maya provides powerful specialized tools for creating detailed and complex models. The results highlight the strengths and limitations of each software used for digital clothing creation, aiding developers and creators in selecting the right tool according to their needs.