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人工智能時代的設計:基於深度學習的文創產品圖案設計

Design in the Age of AI: Graphic Design of Cultural and Creative Products Based on Deep Learning

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주제분류기타사회과학

초록

目前,以深度學習為代表的高新技術快速崛起,人類社會正在進入人工智能時代。文創產品的圖案設計可以借助深度學習進行發展,這將改善現有的不足,促進相關行業升級。本研究首先梳理了深度學習中能夠進行結合應用的技術。然後將新技術融入現有的設計流程,形成了基於深度學習的文創產品圖案設計框架。為驗證所提出框架的有效性,召集設計從業人員進行了對照實驗。實驗結果表明,本研究所提出的框架有效利用了人工智能的技術優勢,能夠提高設計作品的創意度和綜合效果,能夠縮短設計所需時間,提高設計師的設計效率。同時,所提出的框架降低了對設計師基礎能力的依賴,使設計專業的初學者在更短的時間內設計出更高質量的作品。在未來的研究中,可以將此框架推廣到實際設計工作中,並調查設計師的使用感受。

Abstract

In recent years, with the rapid rise of high and new technology represented by deep learning (DL), human society is entering the era of artificial intelligence (AI). The graphic design of Cultural and Creative Products can be developed with the help of DL, which will improve the existing shortcomings and promote the upgrading of relevant industries. Firstly, this study combs the AI technologies that can be applied to design. Then the technologies are integrated into the existing design process to form a DL based framework. In order to verify the effectiveness of the proposed framework, design practitioners were called to conduct a control experiment. The results show that the proposed framework makes effective use of the technical advantages of AI, and can improve the creativity and comprehensive effect, shorten the design time, and improve the design efficiency of designers. At the same time, the proposed framework reduces the dependence on the basic ability of designers, thus beginners majoring in design can design higher quality works in a shorter time. In the future research, the proposed framework will be extended to the actual design work, and the use feelings of designers can be investigated.

참고문헌 (14)

  1. 이시헌, "패션 디자인 씽킹(design thinking) 프로세스를 위한 AI 기반 디자인 툴의 활용 가능성", 한국디자인포럼, 26(2), pp.155~170 (2021), 한국디자인트렌드학회[DOI]
  2. 이미숙, "AI 제작물 예술의 특성에 대한 탐색적 연구", 인문사회 21, 12(5), pp.1561~1576 (2021), 인문사회 21
  3. 이광득, "인포그래픽 시각적 요소 활용에서 나타난 디자인 사고 연구", 상품문화디자인학연구, (54), pp.89~99 (2018), 한국상품문화디자인학회[DOI]
  4. 연명흠, "인공지능 기반 로고디자인 툴의 가능성에 대한 탐색적 실험", 디자인융복합연구(구.인포디자인이슈), 20(2), pp.113~128 (2021), 디자인융복합학회(구.한국인포디자인학회)
  5. 신윤창, "창조경제를 통한 문화산업 발전의 필요·충분조건에 관한 탐색적 연구", 인문사회과학연구, (44), pp.127~156 (2014), 인문사회과학연구소[DOI]
  6. 김시연, "정량적 정보의 효율적 전달을 위한 시각적 표현에 관한 연구", 조형미디어학, 23(2), pp.1~9 (2020), 한국일러스아트학회[DOI]
  7. 김승환, "딥러닝의 변수 중요도를 이용한 인공지능 기술 분석", 한국지능시스템학회 논문지, 29(1), pp.70~75 (2019), 한국지능시스템학회
  8. Bujor, A., "Creative industries as a growth driver: An overview", Managing Intellectual Capital and Innovation for Sustainable and Inclusive Society, Management, Knowledge and Learning, Joint Conference, pp.27~29 (2015)
  9. Cetinic, E., "Understanding and Creating Art with AI : Review and Outlook", arXiv preprint arXiv:2102.09109, ~ (2021)
  10. Hsu, C. H., "A Study on Consumer Perception and Preference of Cultural Creative Products", JIn International Conference on Parading for Design Education, pp.221~226 (2012)
  11. Hutton, W., "Staying ahead : the economic performance of the UK’s creative industries", pp.1~13 (2007), Work Foundation
  12. Qiu, J., "A new approach for multiple attribute group decision-making based on interval neutrosophic sets", Journal of Intelligent & Fuzzy Systems, 36(6), pp.5929~5942 (2019)
  13. Ying, W., "Intelligent Creative Design of Textile Patterns Based on Convolutional Neural Network", International Conference on Intelligent and Interactive Systems and Applications, pp.210~215 (2018)
  14. 胡鹏林, "⽂化创意产业的起源, 内涵与外延", 济南⼤学学报(社会科学版), 28(149), pp.125~133 (2018)

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