earticle

영어

Recently, with the increasing importance of personal image management, there has been a growing interest in individuals wanting to discover their personal colors. Consequently, the use of beauty applications for self-diagnosing personal colors is also on the rise. Therefore, this study aims to analyze personal color diagnostic programs systematically and objectively for the purpose of structured data collection. Four applications—JamFace, Eye Color, Dressika, and My Best Colors—were analyzed using the Korean Standard Color Analysis Program, extracting less than 56 colors categorized by hue, brightness, and saturation into Yellow Base and Blue Base. Additionally, the study analyzed the types of diagnostic content in each application. The results revealed that all four applications use seasonal palettes for diagnosis, but differences were observed in the types and ranges of seasonal color analysis. Furthermore, each application offers various features and content such as real-time virtual makeup and color analysis through user questions, utilizing different diagnostic methods and platform approaches. Future research should expand on the reliability of diagnostic colors in personal color diagnostic applications, and it is anticipated that this study will serve as substantial foundational data for the development of personal color diagnostic programs.

중국어

随着个人形象管理的重要性日益突出, 希望了解自己个人色彩的人数不断增加. 因此, 可以自我 诊断个人色彩的美容应用程序的使用也在增加. 本研究旨在分析个人色彩诊断程序, 以建立系统 和客观的数据. 我们分析了Jamface, iColor, Dressika和My Best Colors四种应用程序中用于 诊断的色彩, 根据黄色基调和蓝色基调, 使用韩国标准色彩分析程序提取56种以下的颜色, 并按 色相, 明度和饱和度进行比较分析. 此外, 还分析了每个应用程序的诊断内容类型. 研究结果显 示, 四个应用程序在诊断时都使用四季调色板, 但在季节色彩分析类型和范围上存在差异. 除了 个人色彩诊断外, 还提供实时虚拟化妆或通过用户问题进行色彩分析等各种功能和内容, 确认每 个应用程序都使用不同的诊断方法和平台利用方式. 未来研究需要扩展到个人色彩诊断应用程 序的诊断色彩可靠性研究, 希望本研究能为个人色彩诊断程序开发提供实际基础资料信息.