인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
By harnessing the objectivity of AI, designers have gained support in the decision-making process. However, in fashion, where style is heavily influenced by designers’ subjective experience, expertise, and heuristics, designers have expressed dissatisfaction with the inability of AI to reflect this subjectivity. Our research aims to explore methods for incorporating the nuances of fashion style into AI, and to develop a tool that more effectively supports the design decision-making process. Based on a formative study with six fashion professionals, we identified the process of defining style and how it is applied in the design process, and formulated three design goals. We developed CoCoStyle, consisting of CoStyle, which incorporates style subjectivity into the AI by adapting fashion attributes and images; CoDesign, which generates new, synthetic images based on the user-defined style; and CoImprove, which recommends various ways to improve designs within the user-defined style. We conducted a user study with six fashion professionals and four students majoring in fashion design, confirming the effectiveness of CoCoStyle in capturing style subjectivity, its potential to reduce time in the design process, and its role in mitigating concerns about design uniformity caused by AI. We highlighted the importance of attribute- and image-based adjustments in incorporating style subjectivity into AI and suggested ways for AI to gain a deeper understanding of style nuances.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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