Development Trends, Research Hotspots and Paradigm Construction of Design Innovation Driven by Artificial Intelligence

HU Ziyin; ZHENG Gangqiang; ZHU Yitao; ZHANG Yizhe; XIE Zhenzhen

doi:10.19798/j.cnki.2096-6946.2026.02.011

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Industrial & Engineering Design ›› 2026, Vol. 8 ›› Issue (2) : 94-116. DOI: 10.19798/j.cnki.2096-6946.2026.02.011

Design Innovation and Application

Development Trends, Research Hotspots and Paradigm Construction of Design Innovation Driven by Artificial Intelligence

HU Ziyin, ZHENG Gangqiang, ZHU Yitao, ZHANG Yizhe, XIE Zhenzhen

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The work aims to systematically analyze the development sequence, hot themes and evolution trends of AI-driven design innovation at home and abroad, clarify China's research positioning and development characteristics in this field, and provide references for the path of AI-driven design innovation. Relevant literature in the CNKI and Web of Science databases is systematically analyzed with visualization tools. From multiple dimensions such as the annual number of published papers, institutional cooperation networks, author co-occurrence relationships, keyword co-occurrence and clustering, and emergent word analysis, In-depth comparison and trend mining of research on artificial intelligence-driven design innovation at home and abroad is conducted to reveal its development stages, research hotspots and evolution paths. The development trajectory of domestic artificial intelligence-driven design innovation can be divided into three stages: initial exploration (2000-2015), rapid growth (2016-2020), and stable development (2021-2025). The research hotspots focus on "comprehensive application of artificial intelligence-driven design, knowledge-driven intelligent design, intelligent robot design and control, computer vision-enabled design, and intelligent design methods and system construction". Abroad, it has gone through three stages: initial germination (2000-2010), stable growth (2011-2018), and explosive growth (2019-2025). The research hotspots focus on "generative AI and humanity-oriented design innovation, AI-driven design systems and decision-making mechanisms, AI technology empowering engineering design and energy optimization, user perspective acceptance and literacy of AI design, and the deep integration of AI algorithms and engineering systems". Domestic research generally shows the characteristics of being driven by both "policy and technology" and highly coordinated with national strategies, while foreign research presents an evolutionary logic of "technological breakthroughs - scenario expansion - ethical governance". The differences between Chinese and foreign design research mainly lie in four dimensions: "technical philosophy, value cognition, cultural adaptation, and academic background". In the future, an artificial intelligence design paradigm for human-machine symbiosis should be constructed from the three-dimensional perspectives of "cultural design - ethical design - symbiotic design".

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artificial intelligence / design innovation / development trend / research hotspots / visual analysis

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HU Ziyin, ZHENG Gangqiang, ZHU Yitao, ZHANG Yizhe, XIE Zhenzhen. Development Trends, Research Hotspots and Paradigm Construction of Design Innovation Driven by Artificial Intelligence[J]. Industrial & Engineering Design. 2026, 8(2): 94-116 https://doi.org/10.19798/j.cnki.2096-6946.2026.02.011

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