Abstract
The cosmetics industry continues to develop products related to personal curation in convergence with the fourth industry as consumers’ needs for personalized solutions increase amid the ever-growing and vast beauty market and information worldwide. In response, the research aims to present a strategic alternative to the development of the smart beauty industry related to personalized beauty products based on big data on skin information tailored to consumer needs. To this end, the examples of beauty technology based on artificial intelligence technology were analyzed by combining literature research and case analysis. Based on this, FGI was conducted and analyzed based on the integrated report and prior research of Koreans to identify the skin characteristics of Koreans . In conclusion, with continuous research and collection of various information data according to skin characteristics, we will be able to provide competitive beauty-tech services and products by increasing the accuracy of the service.
This work was supported by the Technology Innovation Program (or Industrial Strategic Technology Development Program-Design Innovation Capacity Enhancement Project) (20009851, Development of AI IoT beauty self-care products and distribution services design platform for enhancing global competitiveness of K-Beauty business) funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea).
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Lee, Y.J., Choi, J.W., Nam, H.W., Shin, S.Y. (2022). A Study on the Direction of Beauty Tech Reflecting the Skin Characteristics of Koreans: Focused on Case Studies. In: Lee, R. (eds) Computer and Information Science 2021 - Fall. ICIS 2021. Studies in Computational Intelligence, vol 1003. Springer, Cham. https://doi.org/10.1007/978-3-030-90528-6_10
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