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챗 GPT를 활용한 패턴 디자인의 디자이너 모델에 대한 탐색적 접근

An Exploratory Approach to Designer Models for Pattern Design Using ChatGPT

  • 세화첸 (동서대학교 대학원 영상콘텐츠학과) ;
  • 송승근 (동서대학교 대학원 영상콘텐츠학과)
  • 투고 : 2024.09.01
  • 심사 : 2024.11.01
  • 발행 : 2024.11.30

초록

최근 생성형 인공지능(AI) 기술이 빠르게 발전하며 글자인식, 음성인식, 영상인식, 사물인식, 시계열적인 예측, 자연어처리 분야뿐만 아니라 인공지능이 할 수 없을 것이라고 생각했던 창의적 디자인 영역까지 그 적용 분야가 확대되고 있다. 우리는 생성형 인공지능을 활용하는 패턴 디자이너의 인지적 모형을 연구하기 위한 탐색적 접근을 목적으로 한다. 이를 위해 생성형 인공지능 가운데 제일 인지도가 높은 챗 GPT를 활용하여 패턴 디자인 과정을 인지과학적 연구방법인 프로토콜 분석 방법을 적용하였다. 4명의 디자인 대학원생을 피험자로 선정하며 예행연습과 본 실험을 실시하였다. 데이터 수집을 위하여 음성녹음과 동영상 캡처를 수행하였다. 프로토콜 방법은 과제를 수행하면서 자신의 머릿속에서 생각나는 것을 말로 동시에 표현하는 동시조서(Concurrent Protocol) 방법을 적용하였다. 수집된 구두 데이터를 활용하여 어휘분절하여 디자인 과정을 분류하며 코딩스킴을 개발하여 분석의 틀을 마련하였다. 그 결과, 분석, 선택, 시각화, 평가, 최적화가 발견되었다. 우리는 패턴디자인 실무를 위한 디자인 가이드라인을 제시할것으로 기대한다.

Recently, generative artificial intelligence (AI) technology has been rapidly developing and its application fields are expanding beyond text, voice, image, object recognition, time-series forecasting, and natural language processing to the creative design field that AI was thought to be incapable of. We aim for an exploratory approach to study the cognitive model of pattern designers using generative AI. To this end, we used GPT 4o, which is the most well-known generative AI, and applied the protocol analysis method, a cognitive science research method, to the pattern design process. Four design graduate students were selected as subjects and pilot and main experiment were conducted. Voice recording and video capture were performed to collect data. The protocol method applied the concurrent protocol method, which simultaneously expresses what comes to mind while performing the task. The collected verbal data was used to classify the design process by segmenting words and developing a coding scheme to establish a framework for analysis. As a result, analysis, selection, visualization, evaluation, and optimization were discovered. We expect to present design guidelines for pattern design practice.

키워드

과제정보

이 논문은 장시성 교육청 과학기술 프로젝트 과제 번호 (GJJ2402713) 로 연구되었음

참고문헌

  1. Y.Q. Wei and K. H. Eom, "A Case Study on Surface Pattern Design Using Mid-Journey Expression Techniques," Korean Society of Design and Culture, Vol. 29, No. 4, pp. 668-676, December 2023.
  2. M. Yoshida, Think Aloud Protocols and Type of Reading Task : The Issue of Reactivity in L2 Reading Research, ResearchGate, pp. 200-201, 2011.
  3. S. K. Song and J.H. Lee, "An Exploratory Approach to Textile Designer's Cognition Model," The Korean Society of Emotional Science, Vol. 6, No. 1, pp. 57-61, March 2003.
  4. M. W. Someren, Y. F. Barmard, and J. Sandberg, The Think Aloud Method : A Practical Guide to Modeling Cognitive Processes, Academic Press, 1994.
  5. C. M. Eastman, On The Analysis of Intuitive Design Processes, In : G T. Moore,(ed.) Emerging Methods in Environmental Design and Planning, MIT Press, Cambridge MA, pp. 21-37, 1970.
  6. M. Suwa, T. Purcell, and J. Gero, "Macroscopic Analysis of Design Processes based on A Scheme for Coding Designers'Cognitive Actions," Design Studies, Vol 19, No.4, pp. 455-483, October 1980.
  7. M. Kavakli and J.S. Gero, "The Structure of Concurrent Cognitive Actions : A Case Study on Novice and Expert Designers," Design Studies, Vol. 23, No. 1, pp. 25-40, January 2002.
  8. H. A. Simon and G. Lea, Problem Solving and Rule Induction. In: Models of Thought, Yale University Press, New Haven, pp. 329-346, 1977.
  9. K. A. Ericcsson and H. A Simon, Protocol Analysis, MIT Press, Cambridge, MA, 1993.
  10. J. Kim, F. Lerch, and H. A. Simon, "Internal Representation and Rule Development in Object-Oriented Design", ACM Transactions on Computer-Human Interaction, Vol. 2, No. 4, pp. 357-390, December 1995.
  11. Song S., Gamers' Cognitive Processing in MMORPG Games : Focusing on World of Warcraft Players, Yonsei University Graduate School Ph D. Thesis, pp. 1-3, 2007.
  12. J.Y. Seo and S.A. Kim, "Generative AI as a Virtual Conversation Partner in Language Learning", International Journal of Advanced Culture Technology, Vol.12 No.2 pp. 7-15, May 2024.