A Bibliometric Analysis Of The Status And Trends Of AI Applications In Design Thinking Research Based On Scopus (2015–2025)
DOI:
https://doi.org/10.64252/kjx6gx23Keywords:
AI, design thinking, artificial intelligence, bibliometric analysisAbstract
This study examines AI applications in design thinking through bibliometric and content analyses of 535 articles from the Scopus database (2015-2025). The number of publications increased from 2019, peaking in 2024, reflecting growing interest in AI's role in design thinking. Co-occurrence analysis indicates that AI is central to design research, particularly in AI-generated content (AIGC) and human-computer interaction, driving innovation in design education and practice. Design thinking, which emphasizes user needs and creative problem-solving, is key in integrating AI with design. AIGC tools, such as ChatGPT, enhance design processes and promote interdisciplinary collaboration. However, ethical considerations, including fairness, inclusivity, and sustainability, are becoming increasingly important. The findings suggest that AI in design thinking will continue to evolve, shaping both academic research and practical applications.




