AI-Assisted Cultural and Creative Product Design Framework and Case Study DOI: https://doi.org/10.33093/ijomfa.2025.6.1.8
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Abstract
This paper presents an AI-assisted design framework for the development of cultural and creative products, using the Ya Chou Yue, a renowned artifact from the Shandong Museum, as a prototype for designing a cultural creative doll. The framework is structured around key steps: clarifying design objectives, creating a design plan, generating AI images, and revising the design plan. The final design outcome illustrates the practical application of AI in cultural product development. This study highlights both the advantages and limitations of AI technology in the design process, offering new approaches and methodologies for the cultural and creative industries. Furthermore, it contributes to the ongoing efforts to promote cultural heritage and innovation through AI technologies.
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Bilgram, V., & Laarmann, F. (2023). Accelerating innovation with generative AI: AI-augmented digital prototyping and innovation methods. IEEE Engineering Management Review, 51(2), 18–25. https://doi.org/10.1109/EMR.2023.3272799
Chandrasekera, T., Hosseini, Z., & Perera, U. (2024). Can artificial intelligence support creativity in early design processes? International Journal of Architectural Computing. https://doi.org/10.1177/14780771241254637
Chao, L., & Ismail, N. H. (2023). Research on the strategy of local cultural creative products and brand building. Academic Journal of Humanities & Social Sciences, 6(21), 60–66.
Chen, C.-L. (2021). Cultural product innovation strategies adopted by the performing arts industry. Review of Managerial Science, 15(5), 1139–1171. https://doi.org/10.1007/s11846-020-00393-1
Chen, J.-F., Ni, C.-C., Lin, P.-H., & Lin, R. (2024). Designing the Future: A Case Study on Human-AI Co-Innovation. Creative Education, 15(03), 474–494. https://doi.org/10.4236/ce.2024.153028
Cook, C. A., Foster, C. J., & Blader, S. (2024). Bone, Bronze, and Bamboo: Unearthing Early China with Sarah Allan. State University of New York Press.
Deng, M., Liu, Y., & Chen, L. (2023). AI-driven innovation in ethnic clothing design: an intersection of machine learning and cultural heritage. Electronic Research Archive, 31(9), 5793–5814.
Deng, Y. (2021). Application of artificial intelligence in art design. 2021 International Conference on Computer Technology and Media Convergence Design (CTMCD), 200–203.
Furtado, L. S., Soares, J. B., & Furtado, V. (2024). A task-oriented framework for generative AI in design. Journal of Creativity, 34(2). https://doi.org/10.1016/j.yjoc.2024.100086
Gargiulo, D. (2008). Active objects, passive dramas: How may design re-appropriate tools from the art of dramaturgy in the service of developing more meaningful products? [Master dissertation, UNITEC].
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2020). Generative Adversarial Networks. Communications of the ACM, 63(11), 139–144.
Gu, M., Hidayat, I. K., & Novica, D. R. (2022). The inheritance and innovation value of cultural and creative products of the Palace Museum in Beijing. KnE Social Sciences, 157–165.
Guo, Z., Zhu, Z., Li, Y., Cao, S., Chen, H., & Wang, G. (2023). AI assisted fashion design: A Review. IEEE Access, 11, 88403–88415. https://doi.org/10.1109/ACCESS.2023.3306235
Jaw, Y.-L., Chen, C.-L., & Chen, S. (2012). Managing innovation in the creative industries – A cultural production innovation perspective. Innovation, 14(2), 256–275. https://doi.org/10.5172/impp.2012.14.2.256
Rodgers, P., & Milton, A. (2011). Product design. Laurence King.
Sedita, S. R. (2012). Leveraging the intangible cultural heritage: Novelty and innovation through exaptation. City, Culture and Society, 3(4), 251–259. https://doi.org/10.1016/j.ccs.2012.11.009
Shamsolmoali, P., Zareapoor, M., Granger, E., Zhou, H., Wang, R., Celebi, M. E., & Yang, J. (2021). Image synthesis with adversarial networks: A comprehensive survey and case studies. Information Fusion, 72, 126–146.
Sun, Y. (2006). Colonizing China’s northern frontier: Yan and her neighbors during the early Western Zhou period. International Journal of Historical Archaeology, 10, 159–177.
Tschang, Feichin, Ted and Goldstein, Andrea. Production and Political Economy in the Animation Industry: Why Insourcing and Outsourcing Occur. (2004). DRUID Summer Conference, Elsinore, Denmark, 1-21.
Wang, T. (2018). Mirroring China’s Past: Emperors, Scholars, and Their Bronzes. Yale University Press.
Wu, A., & Chang, R. (2024). AI-assisted design for intangible cultural heritage: a study on the Tujia hand-waving dance. Frontiers in Artificial Intelligence and Applications, 383, 20–27. https://doi.org/10.3233/FAIA231421
Yang, M.-Y., You, M., & Chen, F.-C. (2005). Competencies and qualifications for industrial design jobs: implications for design practice, education, and student career guidance. Design Studies, 26(2), 155–189.