The Impact of AIGC Technology on Furniture Design Education
Abstract
The rapid advancement of AIGC technology is transforming creative industries. ChatGPT, Midjourney, and Stable Diffusion are revolutionizing creative design through optimized processes. This study assesses AIGC technology's impact on furniture design creativity and investigates strategies for curriculum integration to boost student innovation. Through a practice-based research methodology, this study compares traditional and AIGC-assisted design methods, evaluating their efficiency, innovation, and practicality. The findings reveal that AIGC technology enhances both design efficiency and solution diversity, enabling students to develop innovative solutions quickly. The technology offers vital support for research analysis, concept development, and visual presentation—expanding creative horizons. As an effective complement to traditional approaches, AIGC technology shows promise in advancing design education. We propose incorporating AIGC training into curricula and strengthening students' adaptability to the evolving design industry through interdisciplinary learning and professional growth.
Downloads
References
Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning (SSRN Scholarly Paper No. 4337484). Social Science Research Network. https://doi.org/10.2139/ssrn.4337484
Bartlett, K. A., & Camba, J. D. (2024). Generative Artificial Intelligence in Product Design Education: Navigating Concerns of Originality and Ethics. International Journal of Interactive Multimedia and Artificial Intelligence, 8(5). https://doi.org/10.9781/ijimai.2024.02.006
Bengesi, S., El-Sayed, H., Sarker, M. K., Houkpati, Y., Irungu, J., & Oladunni, T. (2024). Advancements in generative AI: A comprehensive review of GANs, GPT, autoencoders, diffusion model, and transformers. IEEE Access, 12, 69812–69837. https://doi.org/10.1109/ACCESS.2024.3397775
Buonamici, F., Carfagni, M., Furferi, R., Volpe, Y., & Governi, L. (2020). Generative design: An explorative study. Computer-Aided Design and Applications, 18(1), 144–155. https://doi.org/10.14733/cadaps.2021.144-155
Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P. S., & Sun, L. (2023). A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. arXiv:2303.04226 [Preprint]. https://doi.org/10.48550/arXiv.2303.04226
Dezeen. (2019, April 11). Philippe Starck designs world’s first chair created using artificial intelligence. Retrieved February 26, 2025, from https://www.dezeen.com/2019/04/11/ai-chair-philippe-starck-kartell-autodesk-artificial-intelligence-video/
Dokter, G., Thuvander, L., & Rahe, U. (2021). How circular is current design practice? Investigating perspectives across industrial design and architecture in the transition towards a circular economy. Sustainable Production and Consumption, 26, 692–708. https://doi.org/10.1016/j.spc.2020.12.032
Elal, İ., & Özsoy, H. Ö. (2024). Investigating The Effects of Using Artificial Intelligence in The Conceptual Design Phase of The Industrial Design Process. Gazi University Journal of Science Part B: Art Humanities Design and Planning, 12(2), 197-213.
Gmeiner, F., Yang, H., Yao, L., Holstein, K., & Martelaro, N. (2023). Exploring challenges and opportunities to support designers in learning to co-create with AI-based manufacturing design tools. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1–20). https://doi.org/10.1145/3544548.3580999
Hakimshafaei, M. (2023). Survey of generative AI in architecture and design (Master's thesis). UC Santa Cruz. https://escholarship.org/uc/item/47x6k9j8
Hashem, O. A., & Hakeem, M. B. (2024). Design Education Methodology Using AI. Journal of Art, Design and Music, 3(1). https://doi.org/10.55554/2785-9649.1030
Huang, K.-L., Liu, Y.-C., Dong, M.-Q., & Lu, C.-C. (2024). Integrating AIGC into product design ideation teaching: An empirical study on self-efficacy and learning outcomes. Learning and Instruction, 92, 101929. https://doi.org/10.1016/j.learninstruc.2024.101929
Jonasson, H. (2023). Artificial Intelligence in the Industrial Design Process. Jönköping University Institutional Repository. https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-61259
Jovanović, M., & Campbell, M. (2022). Generative artificial intelligence: Trends and prospects. Computer, 55(10), 107–112. https://doi.org/10.1109/MC.2022.3192720
Lee, S., Law, M., & Hoffman, G. (2024). When and how to use AI in the design process? Implications for human-AI design collaboration. International Journal of Human-Computer Interaction, 41(2). https://doi.org/10.1080/10447318.2024.2353451
Li, B., Bai, Y., Zhan, X., & Li, G. (2023a). The Technical Features and Aromorphosis of Artificial Intelligence Generated Content (AIGC). Documentation, Information & Knowledge, 40(1), 66–74. https://doi.org/10.13366/j.dik.2023.01.066
Li, X., Fan, Y., & Cheng, S. (2023b). AIGC in China: Current developments and future outlook. arXiv:2308.08451 [Preprint]. https://doi.org/10.48550/arXiv.2308.08451
Li, Z., Ma, Z., Xu, B., Lei, S., Cheng, Y., & Xu, F. (2024). AIGC Enabling Non-Genetic Design Methods and Practices. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1319
Liao, X., & Song, Y. (2021). Research on furniture design system based on big data and information technology. Journal of Physics: Conference Series, 1744(3), 032025. https://doi.org/10.1088/1742-6596/1744/3/032025
Liu, Z., Li, Y., Cao, Q., Chen, J., Yang, T., Wu, Z., Hale, J., Gibbs, J., Rasheed, K., Liu, N., Mai, G., & Liu, T. (2023). Transformation vs tradition: Artificial general intelligence (AGI) for arts and humanities. arXiv:2310.19626 [Preprint]. https://doi.org/10.48550/ARXIV.2310.19626
Ma, X., Ding, X., Tang, X., Zhang, S., & Diao, J. (2024). Risks, strategies, and prospects of generative artificial intelligence in digital education: A policy content analysis perspective. In Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology (pp. 45-56). Wuhan, China. https://eudl.eu/doi/10.4108/eai.29-3-2024.2347645
Mansour, S. (2023). Intelligent Graphic Design: The Effectiveness of Midjourney as a Participant in a Creative Brainstorming Session. International Design Journal, 13(5), 501–512. https://doi.org/10.21608/idj.2023.231684.1090
Park, K. (2023). Study on the feasibility of using AI image generation tool for fashion design development -Focused on the use of Midjourney. The Journal of the Convergence on Culture Technology, 9(6), 237–244. https://doi.org/10.17703/JCCT.2023.9.6.237
Savio, L., Cocina, G., Gariano, R., Giampetruzzi, F., Pagani, R., Pedrazzo, M. M., & Pennacchio, R. (2018). Smart street furniture: Innovation in the concept design process. In Advances in Human Factors, Sustainable Urban Planning and Infrastructure (pp. 163–175). Springer. https://doi.org/10.1007/978-3-319-60450-3_16
Turgay, O., Kaptan, M., Öktem Erkartal, P., Demir, T., & Doğukanlı, A. Ç. (2023). Interdisciplinary trajectories: Regenerating Barcelona Pavilion with midjourney. Mimar Sinan Fine Arts University Institutional Repository. http://185.48.24.206/xmlui/handle/20.500.12941/131
Uludüz, Ç., & Aydın, Ç. (2022). Machine as the designer of generative solutions in chair design. Journal of Computational Design, 3(1), 1-15. https://doi.org/10.53710/jcode.1070450
Wang, Y., Xi, Y., Liu, X., & Gan, Y. (2024). Exploring the Dual Potential of Artificial Intelligence-Generated Content in the Esthetic Reproduction and Sustainable Innovative Design of Ming-Style. Sustainability, 16(12), 5173. https://doi.org/10.3390/su16125173
Weisz, J. D., Muller, M., He, J., & Houde, S. (2023). Toward General Design Principles for Generative AI Applications. arXiv:2301.05578 [Preprint]. https://doi.org/10.48550/arXiv.2301.05578
Wu, J., Gan, W., Chen, Z., Wan, S., & Lin, H. (2023). AI-generated content (AIGC): A survey. arXiv:2304.06632 [Preprint]. https://doi.org/10.48550/ARXIV.2304.06632
Xu, J., Zhang, X., Li, H., Yoo, C., & Pan, Y. (2023). Is Everyone an Artist? A Study on User Experience of AI-Based Painting System. Applied Sciences, 13(11), 6496. https://doi.org/10.3390/app13116496
Yu, H. (2023). Reflection on whether chat GPT should be banned by academia from the perspective of education and teaching. Frontiers in Psychology, 14, 1181712. https://doi.org/10.3389/fpsyg.2023.1181712
Yu, H., Dong, Y., & Wu, Q. (2023). User-centric AIGC products: Explainable Artificial Intelligence and AIGC products. arXiv:2308.09877 [Preprint]. https://doi.org/10.48550/arXiv.2308.09877
