目的 本文旨在探索生成式人工智能技术(AIGC)在博物馆叙事设计中的具体应用及其对增强参观者互动体验的作用。结合用叙事学理论，本研究将分析AIGC如何通过动态与沉浸式叙事来转化展览叙事，提升用户的认知沉浸和情感联结。方法 首先，运用文献研究法分析AIGC在博物馆叙事中的理论基础;其次，通过案例分析法挖掘并探析实际运用AIGC技术于博物馆的案例;最后，研究了博物馆叙事传播中的隐患与挑战。结果 生成式人工智能技术能够有效地识别展览数据模式并生成吸引参观者的新内容，为用户带来个性化且情境化的叙事体验，并提供个性化学习路径促进观众的认知、情感发展。结论 生成式人工智能技术的融合为博物馆叙事设计提供了新的交互需求和个性化体验，多感官设计策略让参观者更好地理解和参与，AIGC会在博物馆叙事设计中形成新的体验模式。

The work aims to explore the specific application of artificial intelligence generated content (AIGC) technology in museum narrative design and its role in enhancing visitor interaction experiences. Combined with narrative theory, the research analyses how AIGC transforms exhibition narratives through dynamic and immersive narratives to enhance users' immersive cognitive and emotional connections. Firstly, the theoretical basis of AIGC in museum narrative was analyzed by literature research. Secondly, through the case analysis method, the actual application of AIGC technology to museums was excavated and analyzed. Finally, the hidden dangers and challenges in museum narrative communication were studied. Generative AI technology effectively identified patterns in exhibition data, generating new content that attracted visitors and provided a personalized and contextualized narrative experience and promoted the cognitive, emotional and social development of visitors by providing personalized learning paths. The integration of generative AI technology provides new interactive needs and personalized experiences for museum narrative design. Multi-sensory design strategies enable visitors to better understand and participate in the narrative design, and AIGC will form a new experience mode in museum narrative design.