Rethinking Unstructured Design Based on Knowledge Mapping Analysis of Artificial Intelligence Bodies for Domestic Art and Design in China
Year: 2025
Type: conference-paper
Abstract: This paper constructs a “technology-culture” double helix mechanism through a cross-dimensional study of 828 documents and 50 Chinese domestic art design AI tools from 2012 to 2025, combined with knowledge graph analysis and market research. We propose an unstructured design paradigm that combines algorithmic aesthetics with cultural gene encoding, aiming to break the paradox of algorithmic optimization and cultural adaptation in the era of artificial intelligence and reconstruct the methodology of human-machine collaborative design. The study shows that the paradigm can establish a cognitive framework for designers to collaborate with AI and help transform design thinking and construct new design relationships.
Authors: Lijuan Liu, Yuan Yuan, Yuhan Zhan, Yi Zheng
Language: English
Topic: Digital Media and Visual Art
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4412055809