Journal of Fashion Business (패션비즈니스)

The Korean Society of Fashion Business (한국패션비즈니스학회)
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A Study on the Characteristics of AI Fashion based on Emotions -Focus on the User Experience-

감성을 기반으로 하는 AI 패션 특성 연구 -사용자 중심(UX) 관점으로-

  • Kim, Minsun (Dept. of Craft Art & Fashion Design, Hongik University) ;
  • Kim, Jinyoung (Dept. of Textile Art & Fashion Design, Hongik University)
  • 김민선 (홍익대학교 공예디자인 의상학) ;
  • 김진영 (홍익대학교 섬유미술 패션디자인)
  • Received : 2021.09.19
  • Accepted : 2022.01.19
  • Published : 2022.02.28
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Abstract

Digital transformation has induced changes in human life patterns; consumption patterns are also changing to digitalization. Entering the era of industry 4.0 with the 4th industrial revolution, it is important to pay attention to a new paradigm in the fashion industry, the shift from developer-centered to user-centered in the era of the 3rd industrial revolution. The meaning of storing users' changing life and consumption patterns and analyzing stored big data are linked to consumer sentiment. It is more valuable to read emotions, then develop and distribute products based on them, rather than developer-centered processes that previously started in the fashion market. An AI(Artificial Intelligence) deep learning algorithm that analyzes user emotion big data from user experience(UX) to emotion and uses the analyzed data as a source has become possible. By combining AI technology, the fashion industry can develop various new products and technologies that meet the functional and emotional aspects required by consumers and expect a sustainable user experience structure. This study analyzes clear and useful user experience in the fashion industry to derive the characteristics of AI algorithms that combine emotions and technologies reflecting users' needs and proposes methods that can be used in the fashion industry. The purpose of the study is to utilize information analysis using big data and AI algorithms so that structures that can interact with users and developers can lead to a sustainable ecosystem. Ultimately, it is meaningful to identify the direction of the optimized fashion industry through user experienced emotional fashion technology algorithms.

Keywords

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