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.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
This study investigates how transparency in generative AI fashion design and age jointly shape consumer responses. Drawing on information transparency theory and generational perspectives on digital technology, we examine the effects of different AI transparency level on perceived creativity, perceived authenticity, and purchase intention. A 3 (AI transparency level: no transparency vs. partial transparency vs. full transparency) × 2 (age group: 20s vs. 40s–50s) between-subjects online experiment was conducted with 194 Korean female consumers. Participants were randomly exposed to a handbag design generated through a generative-AI workflow, accompanied by product descriptions manipulated to varying levels oft. Results show that AI transparency level has significant positive main effects on perceived creativity and authenticity; full transparency leads to more favorable evaluations than partial or no transparency. For purchase intention, both the main effect of AI transparency level and its interaction with age group are significant. Among consumers in their 20s, purchase intention increases with higher AI transparency, whereas among those in their 40s–50s, partial transparency lowers purchase intention and only full transparency restores it. These findings highlight that partial transparency may backfire, especially for middle-aged consumers, and suggest that fashion brands should adopt age-tailored AI transparency strategies.
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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