[논문]패션 디자인에서의 인간-AI 공동창조(HAIC) 사례 연구

정경희; 이미숙

doi:10.12940/jfb.2023.27.4.141

패션 디자인에서의 인간-AI 공동창조(HAIC) 사례 연구
A Case Study of Human-AI Co-creation(HAIC) in Fashion Design 원문보기

패션비즈니스 = Fashion business, v.27 no.4, 2023년, pp.141 - 162

Abstract ▼ AI-Helper

With the prospect that integrating creative AI in the fashion design field will become more visible, this study considered the case of creative fashion design development through Human-AI Co-creation (HAIC). Methodologically, this research encompasses a literature review and empirical investigations. In the literature review, the fashion design and creative HAIC processes, and the possibilities of integrating AI in fashion design were considered. In the empirical study, based on the case analysis of generating fashion design through HAIC, the HAIC type according to the role and interaction method, and characteristics of humans and AI was considered, and the HAIC process for fashion design was derived. The results of this study are summarized as follows. First, HAIC types in fashion design are divided into four types: AI-driven passive HAIC, human-driven passive HAIC, flexible interaction-based HAIC, and integrated interaction-based value creation HAIC. Second, the stages of the HAIC process for creative fashion design can be broadly divided into semantic data integration, visual ideation, design creation and expansion, design presentation, and design/manufacturing solution and UX platform creation. Third, in fashion design, HAIC contributes to human ability, enhancement of creativity, achievement of efficient workflow, and creation of new values. This research suggests that HAIC has the potential to revolutionize the fashion design industry by facilitating collaboration between humans and AI; consequently, enhancing creativity, and improving the efficiency of the design process. It also offers a framework for understanding the different types of HAIC and the stages involved in the creative fashion design process.

주제어

표/그림 (16)

표 Table 1. Fashion Design Process
그림 Figure 1. Task Division of AI & Human (Jeong & Kim, 2018, p.283)
그림 Figure 2. The AI-augmented Creative Design Cycle (Zeng et al., 2019, p.403)
표 Table 2. The Strengths of Human and AI
그림 Figure 3. The Human-AI Co-creationModel (Wu et al., 2021, p.177)
표 Table 3. Interaction Designs for the Three Clusters of Co-creative Systems
그림 Figure 4. The General Structure of CNNs (www.analyticsvidhya.com)
그림 Figure 5. The General structure of Cycle GAN (paperswithcode.com), and Images from the Cycle GAN (towardsdatascience.com)
표 Table 4. Types of Human-AI Co-Creation (HAIC) in the Fashion Design Cases
표 Table 5. AI-driven Passive HAIC -P:Participants, -H:Human, -▼:Input
표 Table 6. Human-driven Passive HAIC -P:Participants, -H:Human, -:Interaction
표 Table 7. Flexible Interaction-based HAIC Type I -P:Participants, -H:Human, -:Interaction
표 Table 7. Continued
표 Table 8. Flexible Interaction-based HAIC Type II -P:Participants, -H:Human, -:Interaction
표 Table 9. Integrated Interaction-based Value Creation HAIC -P:Participants, -H:Human, -:Interaction
표 Table 10. HAIC in Fashion Design -: Interaction

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