대한건축학회논문집 (Journal of the Architectural Institute of Korea)

  • 제40권5호
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  • Pages.41-52
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  • 2024
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  • 2733-6239(pISSN)
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  • 2733-6247(eISSN)
대한건축학회 (Architectural Institute of Korea)
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AI 기반 프롬프트 디자인 방법 도입에 따른 건축디자인 프로세스 및 디자이너의 역할 고찰

Exploring the Impact of AI-based Prompt Design Method on Architectural Design Process and Designers' Role

  • 창쩌위안 (부산대 실내환경디자인학과 ) ;
  • 한정원 (부산대 실내환경디자인학과)
  • Chang, Ze-Yuan (Dept. of Interior & Environmental Design, Pusan National University) ;
  • Han, Jeong-won (Dept. of Interior & Environmental Design, Pusan National University)
  • 투고 : 2024.02.16
  • 심사 : 2024.05.02
  • 발행 : 2024.05.30
⟨ 이전 논문 다음 논문 ⟩

초록

This study explores AI-based prompt design methods and their impact on architectural design process and designers, examining how these approaches alter traditional design processes and redefine architects' roles. By synthesizing the insights of six design practitioners, this study contrasts prompt design with conventional methods, exploring their practical applications and potential future directions. It also delves into the challenges and limitations posed by AI technologies in this evolving context. This study reveals that AI-based prompt design represents a new design paradigm, where prompted keywords play a central role in streamlining workflow, boosting creativity, and facilitating the translation of concepts into architectural schematics. This paradigm shift transforms architects from solitary designers into AI collaborators, necessitating a broader skill set in design literacy. Prompt design, driven by designer-suggested keywords or prompts, enables a more direct and precise process, allowing architects to clearly define their goals and scope. The evolving role of architects reflects this collaborative approach, with AI handling visualization tasks while designers focus on design decision-making. This shift underscores the ongoing relevance and expertise of architects, highlighting their new role as diversified engineering designers in a dynamic AI-driven environment.

키워드

과제정보

이 과제는 부산대학교 기본연구지원사업(2년)에 의해 연구되었음.

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