摘要
生成式人工智能(AIGC)技术飞速发展,正推动工业设计的理论与实践变革。为厘清该领域的研究热点及演进路径,研究基于文献计量学方法,分别对中国知网(CNKI)和Web of Science(WOS)数据库中的相关文献进行可视化分析。结果表明,国内外研究均聚焦“数据驱动设计”与“人机协同”主题,但国内研究侧重本土化与场景化的实践应用,国际研究侧重用户接受度与人机共生研究。未来需推动跨学科方法融合、完善伦理规范与文化适配研究,深化垂直应用场景的实践探索,促进AIGC与工业设计的融合发展。
The rapid advancement of Artificial Intelligence Generated Content(AIGC)is reshaping both the theory and practice of industrial design.To clarify the research hotspots and evolutionary trajectories in this field,this study employs bibliometric methods to conduct a visualization analysis of relevant literature from the China National Knowledge Infrastructure(CNKI)and Web of Science(WOS)databases.The findings reveal that both domestic and international studies focus on"data-driven design"and"human-machine collaboration."However,domestic research emphasizes localized and scenario-based applications,while international research highlights user acceptance and human-Al symbiosis.Looking ahead,it is essential to promote interdisciplinary integration,refine ethical frameworks and cultural adaptation,and deepen the exploration of vertical application contexts to foster the convergence of AIGC and industrial design.
作者
孙浩云
徐丽平
韦超
况宇翔
Sun Haoyun;Xu Liping;Wei Chao;Kuang Yuxiang(College of Design and Arts,Jiangxi University of Finance and Economics,Nanchang 330013,China;Modern School of Economics and Management,Jiangxi University of Finance and Economics,Jiujiang 332013,China)
基金
江西财经大学第十九届学生科研课题(项目编号:20241125213221554)的资助。
关键词
生成式人工智能(AIGC)
工业设计
知识图谱
Artificial Intelligence Generated Content(AlGC)
industrial design
knowledge graph
