Research on Interaction Interface Design of Cultural-Tourism Apps Based on the Human-AI Co-Creative Intelligent Diamond Model

Abstract

Against the background of cultural digitization, smart tourism, and generative artificial intelligence, cultural-tourism apps are evolving from simple information inquiry tools into integrated service systems that combine cultural cognition, route planning, immersive experience, personalized recommendation, and user co-creation. The conventional linear UI design process, which mainly relies on user research, information architecture, visual design, and usability testing, is insufficient to support dynamic optimization when facing complex cultural resources, diversified tourist needs, uncertain AI-generated content, and continuous platform operation. Based on Zhao Chao’s Train-Develop-Redefine (TDR) intelligent diamond model, and drawing on studies of user experience in cultural-tourism digital products, interface design for linear cultural-heritage digital museums, and AI-driven interface design, this paper constructs an interaction interface design path for cultural-tourism apps consisting of cultural training, human-AI collaborative generation, feedback-based redefinition, and value gate control. The study argues that the intelligent design of cultural-tourism apps should not be reduced to functional accumulation or visual decoration; rather, it should take cultural accuracy, user comprehensibility, interaction controllability, and data governance as core constraints. Through collaboration among human designers, AI systems, cultural experts, operators, and users, the app experience can be extended from “seeing culture” to “understanding culture, participating in culture, generating content, and sharing feedback.” The proposed model and indicator system provide methodological references for information architecture, AI function design, interface evaluation, and continuous iteration of cultural-tourism apps.