基于 CiteSpace 的国内外手术机器人交互设计 分析比较研究

To address the current development status of surgical robot interaction design, a systematic comparative and visualized analysis was conducted. Based on the Web of Science and CNKI databases, literature related to surgical robot interaction design was retrieved. Bibliometric and content analysis methods were applied in combination with the visualization functions of VOSviewer and CiteSpace to construct knowledge maps. From three dimensions-collaboration network distribution, research hotspot themes, and temporal evolution the research landscape and development trends in this field were revealed. The results showed that international research on surgical robot interaction design had started earlier, with close institutional collaborations and more refined, technology-driven research focuses. In contrast, domestic research in this area was initiated later, with weaker institutional cooperation, more scattered topics, and a greater emphasis on theoretical exploration and user experience. It was concluded that future research should strengthen interdisciplinary collaborative innovation and integrate advanced technologies such as intelligent speech recognition, high-precision visual and haptic digitization, intelligent motion trajectory planning, machine learning, and big data modeling to promote the intelligent, precise, and human-centered development of surgical robot interaction design.