Zhao Xiangying, Zhang Shunan, Nan Dongyan, Han Jiali, Kim Jang Hyun
Department of Interaction Science, Sungkyunkwan University, Seoul 03063, Republic of Korea.
Department of Human-Artificial Intelligence Interaction, Sungkyunkwan University, Seoul 03063, Republic of Korea.
Healthcare (Basel). 2024 Dec 6;12(23):2467. doi: 10.3390/healthcare12232467.
BACKGROUND/OBJECTIVES: Studies on the application and exploration of human-computer interaction (HCI) technologies within the healthcare sector have rapidly expanded, showcasing the immense potential of HCI to enhance medical services, elevate patient experiences, and advance health management. Despite this proliferating interest, there is a notable shortage of comprehensive bibliometric analyses dedicated to the application of HCI in healthcare, which limits a thorough comprehension of the growth trends and future trajectories in this area.
To bridge this gap, we employed bibliometric methods using the CiteSpace tool to systematically review and analyze the current state and trends of HCI research in healthcare. A meticulous topic search of Web of Science yielded 3598 papers published between 2004 and 2023.
Through literature analysis, the most productive researchers, institutes, and countries/territories and the collaboration networks among authors and countries within the field were analyzed. Additionally, by conducting a co-citation analysis, journals and literature with high citation rates and influence within the academic community in this field were revealed. Through a cluster analysis based on literature co-citations and keyword burst analyses, we further explored the main research themes and hot topics within the fields of healthcare and HCI.
In summary, through a comprehensive and systematic bibliometric analysis, this study provides a solid knowledge foundation for HCI in the healthcare research community, thereby fostering the development of innovative research and the optimization of practical applications in the field.
背景/目的：关于人机交互（HCI）技术在医疗保健领域的应用与探索的研究迅速扩展，展现了人机交互在提升医疗服务、改善患者体验以及推进健康管理方面的巨大潜力。尽管对此兴趣不断增加，但专门针对人机交互在医疗保健领域应用的全面文献计量分析却明显不足，这限制了对该领域增长趋势和未来发展轨迹的全面理解。
为弥补这一差距，我们运用文献计量方法，借助CiteSpace工具系统地回顾和分析医疗保健领域人机交互研究的现状与趋势。对Web of Science进行细致的主题搜索，共得到2004年至2023年间发表的3598篇论文。
通过文献分析，我们分析了该领域最高产的研究人员、机构以及国家/地区，还有作者与国家之间的合作网络。此外，通过共被引分析，揭示了在该领域学术社区中具有高被引率和影响力的期刊与文献。通过基于文献共被引的聚类分析和关键词突现分析，我们进一步探索了医疗保健和人机交互领域的主要研究主题与热点话题。
总之，通过全面系统的文献计量分析，本研究为医疗保健研究领域的人机交互提供了坚实的知识基础，从而促进该领域创新研究的发展以及实际应用的优化。
