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Interactive AI-Driven Platform for the Traditional Kite Patterns Design

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Culture and Computing (HCII 2025)

Abstract

Kite-making is a traditional Chinese craft recognized as an important form of intangible cultural heritage (ICH). With deep historical roots, kite patterns often carry significant cultural symbolism, reflecting regional aesthetics and craftsmanship. However, with the rapid pace of modernization, traditional crafts like kite-making face challenges such as the decline in skilled artisans and reduced public interest, threatening their preservation and dissemination. Taking the iconic Beijing Swallow Kite as an example, this paper introduces a platform that preserves and evolves traditional kite-making heritage through the integration of generative artificial intelligence (GAI). To achieve this, we first conducted an in-depth analysis of the artistic elements of the Beijing Swallow Kite, including its shape, color, and patterns, to guide the preservation and reinterpretation of traditional kite designs. Based on this analysis, we designed and developed an interactive platform that allows users to create personalized kite designs. To support this, we trained a specialized AI model based on the unique features of the Beijing Swallow Kite. This AI model was then integrated into the platform, enabling the real-time generation of new kite patterns from user sketches. Evaluation results indicate that the platform effectively supports users in designing traditional kite patterns, allowing them to engage deeply with cultural heritage while experimenting with creative variations. Future work will focus on addressing ethical concerns related to the protection of cultural heritage and expanding the platform’s application to other forms of ICH.

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References

  1. Bangor, A., Kortum, P.T., Miller, J.T.: An empirical evaluation of the system usability scale. Int. J. Hum.-Comput. Interact. 24(6), 574–594 (2008)

    Article  Google Scholar 

  2. Brooke, J., et al.: SUS-a quick and dirty usability scale. Usability Eval. Ind. 189(194), 4–7 (1996)

    Google Scholar 

  3. Chen, C.C., Kang, X., Li, X.Z., Kang, J.: Design and evaluation for improving lantern culture learning experience with augmented reality. Int. J. Hum.-Comput. Interact. 40(6), 1465–1478 (2024)

    Article  Google Scholar 

  4. Cherry, E., Latulipe, C.: Quantifying the creativity support of digital tools through the creativity support index. ACM Trans. Comput. Hum. Interact. (TOCHI) 21(4), 1–25 (2014)

    Article  Google Scholar 

  5. Hu, Y.: Application research of artificial intelligence in the innovation of Zhuang brocade digital art: taking “the speech of Zhuang brocade” as an example. J. Comput. Commun. 11(5), 42–51 (2023). https://doi.org/10.4236/jcc.2023.115004

  6. Jiang, Y.P., Su, C., Li, X.C.: Virtual reality technology for the digital dissemination of traditional Chinese opera culture. Int. J. Hum.–Comput. Interact. 1–15 (2024)

    Google Scholar 

  7. Li, Z., Shu, H., Song, W., Li, X., Yang, L., Zhao, S.: Design and implementation of traditional kite art platform based on human-computer interaction and WebAR technology. In: 2021 2nd International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI), pp. 209–212. IEEE (2021)

    Google Scholar 

  8. Li, Z., Shu, H., Song, W., Yang, L.: Beijing Shayan kite display system based on WebVR. In: 2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI), pp. 96–99. IEEE (2021)

    Google Scholar 

  9. Li, Z., Shu, H., Song, W., Zhao, S.: Development of traditional Chinese kites display platform based on virtual reality technology. In: Proceedings of the International Conference on Algorithms, Software Engineering, and Network Security, pp. 389–392 (2024)

    Google Scholar 

  10. Münster, S., et al.: Artificial intelligence for digital heritage innovation: setting up a R &D agenda for Europe. Heritage 7(2), 794–816 (2024). https://doi.org/10.3390/heritage7020038

    Article  Google Scholar 

  11. Nie, K., Guo, M.: Flying your imagination: integrating AI in VR for kite heritage. In: SIGGRAPH Asia 2024 Posters, SA 2024. Association for Computing Machinery, New York (2024). https://doi.org/10.1145/3681756.3697907

  12. Ott, M., Dagnino, F.M., Pozzi, F., Tavella, M.: Widening access to intangible cultural heritage: towards the development of an innovative platform. In: Universal Access in Human-Computer Interaction. Universal Access to Information and Knowledge: 8th International Conference, UAHCI 2014, Held as Part of HCI International 2014, Heraklion, 22–27 June 2014, Proceedings, Part II 8, pp. 705–713. Springer, Cham (2014)

    Google Scholar 

  13. Poonpol, D., Panin, K., Rungruengpol, N., Phokaratsiri, J.: Local arts and crafts and production as influenced by cultural ecology. Silapakorn Univ. J 24, 13–32 (2004)

    Google Scholar 

  14. Qian, W., Cao, J., Xu, D., Nie, R., Guan, Z., Zheng, R.: CNN-based embroidery style rendering. Int. J. Pattern Recogn. Artif. Intell. 34(14), 2059045 (2020). https://doi.org/10.1142/S0218001420590454

    Article  Google Scholar 

  15. Skublewska-Paszkowska, M., Milosz, M., Powroznik, P., Lukasik, E.: 3D technologies for intangible cultural heritage preservation–literature review for selected databases. Heritage Sci. 10(1), 3 (2022)

    Article  Google Scholar 

  16. Sun, K.K., Huang, J.W., Yuan, Y.Y., Chen, M.Y.: Classification and recognition of the Nantong blue calico pattern based on deep learning. J. Eng. Fibers Fabr. 19, 15589250241270618 (2024). https://doi.org/10.1177/15589250241270618

    Article  Google Scholar 

  17. Sun, X., Han, X.: Design of intangible cultural heritage black copper infused with silver patterns using artificial intelligence algorithm-assisted generating logical patterns. In: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), vol. 13180, pp. 1631–1640. SPIE (2024). https://doi.org/10.1117/12.3034129

  18. Tang, Z., Hu, Y., Weng, W., Zhang, L., Zhang, L., Ying, J.: An intelligent shadow play system with multi-dimensional interactive perception. Int. J. Hum.-Comput. Interact. 39(6), 1314–1326 (2023)

    Article  Google Scholar 

  19. Tian, J., et al.: Poeticar: reviving traditional poetry of the heritage site of Jichang garden via augmented reality. Int. J. Hum.-Comput. Interact. 40(6), 1438–1454 (2024)

    Article  Google Scholar 

  20. Wu, L., Yu, R., Su, W., Ye, S.: Design and implementation of a metaverse platform for traditional culture: the chime bells of marquis Yi of Zeng. Heritage Sci. 10(1), 193 (2022)

    Article  Google Scholar 

  21. Wu, Q.: The comparison of Chinese kites art deco schools/la comparaison des écoles de décoration de l’art de cerfs-volant chinois. Can. Soc. Sci. 6(4), 147 (2010)

    Google Scholar 

  22. Yang, Y., Shafi, M., Song, X., Yang, R.: Preservation of cultural heritage embodied in traditional crafts in the developing countries. a case study of Pakistani handicraft industry. Sustainability 10(5), 1336 (2018)

    Google Scholar 

  23. Yao, Z., et al.: Lumina: a software tool for fostering creativity in designing Chinese shadow puppets. In: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, pp. 1–15 (2024)

    Google Scholar 

  24. Zhu, J., Zhu, C.: Research on the innovative application of Shen embroidery cultural heritage based on convolutional neural network. Sci. Rep. 14(1), 9574 (2024)

    Article  Google Scholar 

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Correspondence to Desheng Lyu .

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Zhang, S., Lyu, D., Nie, K., Li, Z. (2025). Interactive AI-Driven Platform for the Traditional Kite Patterns Design. In: Rauterberg, M. (eds) Culture and Computing. HCII 2025. Lecture Notes in Computer Science, vol 15800. Springer, Cham. https://doi.org/10.1007/978-3-031-93160-4_14

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  • DOI: https://doi.org/10.1007/978-3-031-93160-4_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-93159-8

  • Online ISBN: 978-3-031-93160-4

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