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Journal of Graphics ›› 2026, Vol. 47 ›› Issue (2): 251-263.DOI: 10.11996/JG.j.2095-302X.2026020251

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A comparative analysis of domestic and international research on surgical robot interaction design using CiteSpace

WANG Yirui, HUA Xinyi, TANG Tianyu, WANG Yilin, YAN Zhiqi, GENG Zihan, CHEN Xingyu, YANG Jianming, SUN Bowen()   

  1. School of Design and Arts, Beijing Institute of Technology, Beijing 100081, China
  • Received:2025-05-22 Accepted:2025-10-29 Online:2026-04-30 Published:2026-05-20
  • Contact: SUN Bowen
  • Supported by:
    Special Program for Enhancing the Research Skills and Innovation Capabilities of Graduate Students at Beijing Institute of Technology(2024YCXZ014)

Abstract:

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.

Key words: multimodal human-computer interaction design, knowledge mapping, visual-haptic digitization, machine learning, intelligent motion trajectory planning

CLC Number: