摘要
人工智能(AI)技术的快速发展正推动文旅产业进入深度数字化阶段。依托图像识别、自然语言处理及生成式模型等核心技术,AI重构了文旅视觉形象的设计逻辑与传播范式。从机器学习、深度学习及生成对抗网络(GAN)技术维度出发,系统解析AI在视觉创意生成、文化元素解构与动态优化中的方法路径;结合品牌标识设计、虚拟IP开发及沉浸式交互体验等典型场景,验证其应用效能。研究表明:AI通过自动化创意生成与数据驱动优化,显著提升了设计效率与创新性;同时借助个性化推荐与多模态交互技术,强化了文化内容的传播渗透力与用户沉浸感。该研究为数字文旅产业提供了技术赋能的创新实践框架,揭示了AI驱动下视觉设计范式转型与产业升级的内在机理。
The rapid development of Artificial Intelligence(AI)technology is driving the cultural tourism industry into the stage of deep digitalization.Relying on core technologies such as image recognition,natural language processing and generative model,AI reconstructs the design logic and communication paradigm of cultural tourism visual images.Starting from the technical dimensions of machine learning,deep learning and Generative Adversarial Networks(GAN),this paper systematically analyzes the methods and paths of AI in visual creativity generation,cultural element deconstruction and dynamic optimization;combined with typical scenarios such as brand logo design,virtual IP development and immersive interactive experience,its application effectiveness is verified.The research shows that AI significantly improves design efficiency and innovation through automated creativity generation and data-driven optimization;at the same time,with the help of personalized recommendation and multimodal interaction technology,the communication penetration force of cultural content and user immersion are strengthened.This research provides an innovative practice framework of technology empowerment for the digital cultural tourism industry,and reveals the internal mechanism of visual design paradigm transformation and industrial upgrading driven by AI.
作者
许文英
肖雷
XU Wenying;XIAO Lei(Wuhan Business University,Wuhan 430000,Hubei,China)
出处
《上海包装》
2025年第7期39-41,共3页
Shanghai Packaging
基金
武汉商学院2024年度创新创业训练计划项目“AI赋能数字文旅视觉形象创新设计研究——以湖北省广水市为例”(202411654079)。
关键词
人工智能
数字文旅
视觉形象设计
品牌传播
生成对抗网络
交互体验
Artificial Intelligence
digital cultural tourism
visual image design
brand communication
Generative Adversarial Networks
interactive experience
