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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

AI-Driven Collaborative Design for Tourism Cultural and Creative Product Development and Regional Culture Dissemination

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DOI: 10.25236/gemmsd.2025.099

Author(s)

Mengting Jin, Meishan Cheng

Corresponding Author

Meishan Cheng

Abstract

Tourism cultural and creative (cultural-creative) products are vital carriers of regional cultural dissemination and tourism destination branding. However, conventional product development often suffers from limited cultural interpretation, low innovation efficiency, and weak visitor engagement. This paper explores how Artificial Intelligence (AI)-driven collaborative design models can empower tourism cultural-creative product development, integrating local cultural elements with intelligent design tools to achieve both innovation and cultural sustainability. By combining big data analysis, generative design algorithms, consumer preference mining, and digital storytelling techniques, the proposed framework enables multi-stakeholder collaboration among designers, cultural experts, and tourists. Case studies illustrate how AI enhances efficiency in product conceptualisation, strengthens cultural symbol extraction, and fosters immersive experiences through digital-physical integration. The research highlights AI’s potential to revitalise regional cultural heritage, promote sustainable tourism development, and enhance cultural dissemination in the digital age.

Keywords

AI Collaborative Design, Tourism Cultural-Creative Products, Regional Culture, Smart Tourism, Digital Storytelling, Innovation