AI 기반 뷰티 디바이스에 대한 고객 경험 사례분석: 메이크온 스킨 라이트 테라피 3S를 중심으로

In recent years, the beauty industry has been transitioning toward Smart Beauty Tech through the convergence of advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), and sensor technologies. In particular, AI-based beauty devices automatically analyze personal beauty biodata and provide customized care solutions, thereby driving a fundamental shift in the paradigm of beauty experiences. This study qualitatively explores the structure and meaning of customer experiences through case studies of commercially available AI-based beauty devices. In October 2025, in-depth interviews were conducted over approximately six weeks with 15 actual users of AI-based beauty devices. The collected data were analyzed using the latent content analysis method. The findings reveal that customer experiences perceived during the use of AI-based beauty devices can be categorized into cognitive, emotional, and practical experiences. Specifically, three cognitive experience categories, four emotional experience categories, and three practical experience categories were identified as higher-order categories, along with a total of 26 subcategories. Based on these findings, this study discusses theoretical and practical implications and suggests directions for future research.