Research on the Construction of a Collaborative AI-Assisted Design Model for Cultural Creativity

Shu Hsuan Chang

doi:doi:10.11648/j.ijecs.20251006.12

Research Article |

| Peer-Reviewed

Research on the Construction of a Collaborative AI-Assisted Design Model for Cultural Creativity

Shu Hsuan Chang^*

Published in International Journal of Education, Culture and Society (Volume 10, Issue 6)

Received: 8 October 2025 Accepted: 26 October 2025 Published: 3 December 2025

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

With the advancement of artificial intelligence technology, AI-assisted design has evolved from a functional tool to a collaborative partner in the creative process, enhancing design efficiency, broadening cultural interpretation, and transforming conventional design paradigms. Cultural creativity, as a design process, integrates cultural imagery, creative thinking, and technological innovation to translate cultural values into tangible design outcomes. While cultural elements are often incorporated into design through narrative and playful methods to accentuate historical and local identity, their interpretation and value assessment continue to rely substantially on designers' expertise. This study adopts a qualitative research approach, combining literature analysis, case studies, and conceptual modeling to examine the role of AI in cultural and creative design. A "Three-Layer Emotional Value System" and a "Five-Step Design Process" are proposed to systematically transform cultural symbols, meanings, and imagery into design language. Furthermore, a "Culture-AI-Innovation" translation model is constructed and empirically validated through three types of cultural creative products, illustrating the viability of a human-AI collaborative design framework. By integrating Leong's culture-based design model with the 3I innovation framework, the proposed approach addresses the issue of cultural homogenization prevalent in existing AI design tools. This research offers both theoretical insights and practical strategies for cultural creativity and design education, establishing a structured methodology for human-AI co-creation in culturally grounded product development.

Published in	International Journal of Education, Culture and Society (Volume 10, Issue 6)
DOI	10.11648/j.ijecs.20251006.12
Page(s)	321-335
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Cultural Creativity, Human-AI Collaboration, AI-Assisted Design, Emotional Value, Design Translation

References

[1]	McDermott, C. (1997). 20th century design. Carlton Books Limited.
[2]	Chen, Y. (2023). Western dominance in AI training datasets: A cross-cultural study of generative design tools. International Journal of Design Computing, 15(2), 45-67. https://doi.org/10.1007/s00158-023-03634-5
[3]	Lu Dingbang, Zhang Jialing (2007). The Concept and Design Process of User Successive Design. Journal of Design, 12(2), 1-13.
[4]	Leong, B. D. (2003). Culture-based knowledge towards new design thinking and practice: A dialogue. Design Journal, 19, 48-58.
[5]	Hsu, C. H., & Lin, R. T. (2011). A study on cultural product design process. Journal of Design, 16(4), 1-18.
[6]	Zhang, M., Li, X., & Chen, Y. (2021). Parametric design and rule-based systems in architecture: Limitations and prospects. International Journal of Architectural Computing, 19(4), 311-329. https://doi.org/10.1177/14780771211035105
[7]	Rombach, R., Blattmann, A., Lorenz, D., Esser, P., & Ommer, B. (2022). High‐resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 10684-10695). IEEE. https://doi.org/10.1109/CVPR52688.2022.01042
[8]	OpenAI. (2025). Advances in multimodal AI: Capabilities and challenges (Research Report). OpenAI.
[9]	MIT. (2024). AI design failures: Structural and cultural misinterpretations in generative models (Media Lab Report). Massachusetts Institute of Technology.
[10]	Lee, K. (2025). The symbiosis of human and AI creativity: Toward augmented intelligence. Nature Machine Intelligence, 7(2), 210-222. https://doi.org/10.1038/s42256-025-00813-5
[11]	Brown, T. (2008). Design thinking. Harvard Business Review, 86(6), 84-92.
[12]	Nessler, D. (2016). How the Double Diamond works and why it is useful. Medium. https://medium.com/@DanNessler/how-the-double-diamond-works-and-why-it-is-useful-7c50e7d6f002
[13]	Liu, H., Zhang, Q., & Sun, Y. (2023). Generative models for cultural symbol design: Applications in visual communication. Design Studies, 89, 45-62. https://doi.org/10.1016/j.destud.2023.101218
[14]	Chen, Y., & Wang, L. (2024). Semantic transformation in AI-assisted cultural product design. International Journal of Design Creativity and Innovation, 12(3), 201-215.
[15]	Huang, W.-S., & Chen, Y.-K. (2009). A study on the effects of cultural element placement in advertising: The case of Taiwanese indigenous cultural elements. Chaoyang Business and Management Review, 8(3-4), 1-23.
[16]	Hinton, G. (2021). Cultural semiotics in digital age. MIT Press.
[17]	Zhang Ming (2022). Artificial Intelligence-Driven Cultural Innovation Design. Journal of Design Science, 35(4), 12-25.
[18]	Klopfer, L. E., & Aikenhead, G. S. (2022). Humanistic science education: The history of science and other relevant contexts. Science Education, 106, 490-504. https://doi.org/10.1002/sce.21710

Cite This Article

Plain Text BibTeX RIS

APA Style

Chang, S. H. (2025). Research on the Construction of a Collaborative AI-Assisted Design Model for Cultural Creativity. International Journal of Education, Culture and Society, 10(6), 321-335. https://doi.org/10.11648/j.ijecs.20251006.12

Copy | Download

ACS Style

Chang, S. H. Research on the Construction of a Collaborative AI-Assisted Design Model for Cultural Creativity. Int. J. Educ. Cult. Soc. 2025, 10(6), 321-335. doi: 10.11648/j.ijecs.20251006.12

Copy | Download

AMA Style

Chang SH. Research on the Construction of a Collaborative AI-Assisted Design Model for Cultural Creativity. Int J Educ Cult Soc. 2025;10(6):321-335. doi: 10.11648/j.ijecs.20251006.12

Copy | Download

@article{10.11648/j.ijecs.20251006.12,
  author = {Shu Hsuan Chang},
  title = {Research on the Construction of a Collaborative AI-Assisted Design Model for Cultural Creativity
},
  journal = {International Journal of Education, Culture and Society},
  volume = {10},
  number = {6},
  pages = {321-335},
  doi = {10.11648/j.ijecs.20251006.12},
  url = {https://doi.org/10.11648/j.ijecs.20251006.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijecs.20251006.12},
  abstract = {With the advancement of artificial intelligence technology, AI-assisted design has evolved from a functional tool to a collaborative partner in the creative process, enhancing design efficiency, broadening cultural interpretation, and transforming conventional design paradigms. Cultural creativity, as a design process, integrates cultural imagery, creative thinking, and technological innovation to translate cultural values into tangible design outcomes. While cultural elements are often incorporated into design through narrative and playful methods to accentuate historical and local identity, their interpretation and value assessment continue to rely substantially on designers' expertise. This study adopts a qualitative research approach, combining literature analysis, case studies, and conceptual modeling to examine the role of AI in cultural and creative design. A "Three-Layer Emotional Value System" and a "Five-Step Design Process" are proposed to systematically transform cultural symbols, meanings, and imagery into design language. Furthermore, a "Culture-AI-Innovation" translation model is constructed and empirically validated through three types of cultural creative products, illustrating the viability of a human-AI collaborative design framework. By integrating Leong's culture-based design model with the 3I innovation framework, the proposed approach addresses the issue of cultural homogenization prevalent in existing AI design tools. This research offers both theoretical insights and practical strategies for cultural creativity and design education, establishing a structured methodology for human-AI co-creation in culturally grounded product development.
},
 year = {2025}
}

Copy | Download

TY  - JOUR
T1  - Research on the Construction of a Collaborative AI-Assisted Design Model for Cultural Creativity

AU  - Shu Hsuan Chang
Y1  - 2025/12/03
PY  - 2025
N1  - https://doi.org/10.11648/j.ijecs.20251006.12
DO  - 10.11648/j.ijecs.20251006.12
T2  - International Journal of Education, Culture and Society
JF  - International Journal of Education, Culture and Society
JO  - International Journal of Education, Culture and Society
SP  - 321
EP  - 335
PB  - Science Publishing Group
SN  - 2575-3363
UR  - https://doi.org/10.11648/j.ijecs.20251006.12
AB  - With the advancement of artificial intelligence technology, AI-assisted design has evolved from a functional tool to a collaborative partner in the creative process, enhancing design efficiency, broadening cultural interpretation, and transforming conventional design paradigms. Cultural creativity, as a design process, integrates cultural imagery, creative thinking, and technological innovation to translate cultural values into tangible design outcomes. While cultural elements are often incorporated into design through narrative and playful methods to accentuate historical and local identity, their interpretation and value assessment continue to rely substantially on designers' expertise. This study adopts a qualitative research approach, combining literature analysis, case studies, and conceptual modeling to examine the role of AI in cultural and creative design. A "Three-Layer Emotional Value System" and a "Five-Step Design Process" are proposed to systematically transform cultural symbols, meanings, and imagery into design language. Furthermore, a "Culture-AI-Innovation" translation model is constructed and empirically validated through three types of cultural creative products, illustrating the viability of a human-AI collaborative design framework. By integrating Leong's culture-based design model with the 3I innovation framework, the proposed approach addresses the issue of cultural homogenization prevalent in existing AI design tools. This research offers both theoretical insights and practical strategies for cultural creativity and design education, establishing a structured methodology for human-AI co-creation in culturally grounded product development.

VL  - 10
IS  - 6
ER  -

Copy | Download

Author Information

Shu Hsuan Chang

Cross-Strait Vocational Education Integration Development Research Center, Fujian Polytechnic of Information Technology, Fujian, China

http://orcid.org/0009-0002-3757-7949

Download PDF

Submit an Article

Sections

Plain Text BibTeX RIS

APA Style

Chang, S. H. (2025). Research on the Construction of a Collaborative AI-Assisted Design Model for Cultural Creativity. International Journal of Education, Culture and Society, 10(6), 321-335. https://doi.org/10.11648/j.ijecs.20251006.12

Copy | Download

ACS Style

Chang, S. H. Research on the Construction of a Collaborative AI-Assisted Design Model for Cultural Creativity. Int. J. Educ. Cult. Soc. 2025, 10(6), 321-335. doi: 10.11648/j.ijecs.20251006.12

Copy | Download

AMA Style

Chang SH. Research on the Construction of a Collaborative AI-Assisted Design Model for Cultural Creativity. Int J Educ Cult Soc. 2025;10(6):321-335. doi: 10.11648/j.ijecs.20251006.12

Copy | Download

@article{10.11648/j.ijecs.20251006.12,
  author = {Shu Hsuan Chang},
  title = {Research on the Construction of a Collaborative AI-Assisted Design Model for Cultural Creativity
},
  journal = {International Journal of Education, Culture and Society},
  volume = {10},
  number = {6},
  pages = {321-335},
  doi = {10.11648/j.ijecs.20251006.12},
  url = {https://doi.org/10.11648/j.ijecs.20251006.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijecs.20251006.12},
  abstract = {With the advancement of artificial intelligence technology, AI-assisted design has evolved from a functional tool to a collaborative partner in the creative process, enhancing design efficiency, broadening cultural interpretation, and transforming conventional design paradigms. Cultural creativity, as a design process, integrates cultural imagery, creative thinking, and technological innovation to translate cultural values into tangible design outcomes. While cultural elements are often incorporated into design through narrative and playful methods to accentuate historical and local identity, their interpretation and value assessment continue to rely substantially on designers' expertise. This study adopts a qualitative research approach, combining literature analysis, case studies, and conceptual modeling to examine the role of AI in cultural and creative design. A "Three-Layer Emotional Value System" and a "Five-Step Design Process" are proposed to systematically transform cultural symbols, meanings, and imagery into design language. Furthermore, a "Culture-AI-Innovation" translation model is constructed and empirically validated through three types of cultural creative products, illustrating the viability of a human-AI collaborative design framework. By integrating Leong's culture-based design model with the 3I innovation framework, the proposed approach addresses the issue of cultural homogenization prevalent in existing AI design tools. This research offers both theoretical insights and practical strategies for cultural creativity and design education, establishing a structured methodology for human-AI co-creation in culturally grounded product development.
},
 year = {2025}
}

Copy | Download

TY  - JOUR
T1  - Research on the Construction of a Collaborative AI-Assisted Design Model for Cultural Creativity

AU  - Shu Hsuan Chang
Y1  - 2025/12/03
PY  - 2025
N1  - https://doi.org/10.11648/j.ijecs.20251006.12
DO  - 10.11648/j.ijecs.20251006.12
T2  - International Journal of Education, Culture and Society
JF  - International Journal of Education, Culture and Society
JO  - International Journal of Education, Culture and Society
SP  - 321
EP  - 335
PB  - Science Publishing Group
SN  - 2575-3363
UR  - https://doi.org/10.11648/j.ijecs.20251006.12
AB  - With the advancement of artificial intelligence technology, AI-assisted design has evolved from a functional tool to a collaborative partner in the creative process, enhancing design efficiency, broadening cultural interpretation, and transforming conventional design paradigms. Cultural creativity, as a design process, integrates cultural imagery, creative thinking, and technological innovation to translate cultural values into tangible design outcomes. While cultural elements are often incorporated into design through narrative and playful methods to accentuate historical and local identity, their interpretation and value assessment continue to rely substantially on designers' expertise. This study adopts a qualitative research approach, combining literature analysis, case studies, and conceptual modeling to examine the role of AI in cultural and creative design. A "Three-Layer Emotional Value System" and a "Five-Step Design Process" are proposed to systematically transform cultural symbols, meanings, and imagery into design language. Furthermore, a "Culture-AI-Innovation" translation model is constructed and empirically validated through three types of cultural creative products, illustrating the viability of a human-AI collaborative design framework. By integrating Leong's culture-based design model with the 3I innovation framework, the proposed approach addresses the issue of cultural homogenization prevalent in existing AI design tools. This research offers both theoretical insights and practical strategies for cultural creativity and design education, establishing a structured methodology for human-AI co-creation in culturally grounded product development.

VL  - 10
IS  - 6
ER  -

Copy | Download