Exploring the Future Development of Artificial Intelligence (AI) Applications in Chatbots: A Bibliometric Analysis
参考中译:人工智能在聊天机器人中应用的文献计量学分析


          

刊名：International Journal of Social Robotics
作者：Liu Li（Dalian Maritime University）
Duffy Vincent G.（Purdue University）
刊号：737LB013
ISSN：1875-4791
出版年：2023
年卷期：2023, vol.15, no.5
页码：703-716
总页数：14
分类号：TP24
关键词：Chatbot；Artificial intelligence；Bibliometric analysis；Co-citation analysis
参考中译：聊天机器人；人工智能；文献计量分析；共引分析
语种：eng
文摘：Chatbots are fast becoming a key instrument in the research community and enterprise, while few researchers have discussed the focus of existing research and future research directions from the perspective of bibliometrics. This study aimed to explore the evolution tracks of AI applications in chatbots through strict and systematic bibliometric analysis. The analysis began with data retrieval in Web of Science using defined search terms associated with AI and chatbots. Bibliometric tools, including BibExcel and CiteSpace, were employed to conduct performance analysis and co-citation network analysis. Results showed that 1320 documents have been identified until 2022 and research on chatbots exploded after 2016. The USA contributed the most publications and the leading journal mainly focused on engineering and science. The co-citation analysis revealed that the development of AI-based chatbots and the related topics can be summarized as user-centered design, implementation techniques, performance requirements, and media type and future directions of AI in chatbots can mainly focus on improvement of technological means, increased demand, and expansion of applications. This study can help researchers have a broader and deeper understanding of AI-based chatbots and provide an insight into aggregate performance in the AI-based chatbot field.
参考中译：聊天机器人正迅速成为研究界和企业界的关键工具，而很少有研究人员从文献计量学的角度讨论现有研究的重点和未来的研究方向。本研究旨在通过严格系统的文献计量学分析，探索人工智能在聊天机器人中的应用演变轨迹。分析始于在Web of Science中使用与人工智能和聊天机器人相关的定义搜索词进行数据检索。使用文献计量学工具BibExcel和CiteSpace进行绩效分析和共引网络分析。结果显示，截至2022年，已识别出1320份文档，2016年后，对聊天机器人的研究呈爆炸式增长。美国贡献了最多的出版物，主要期刊主要集中在工程和科学上。共引分析显示，基于AI的聊天机器人及其相关主题的发展可以概括为以用户为中心的设计、实现技术、性能要求和媒体类型，聊天机器人AI的未来方向主要集中在改进技术手段、增加需求和扩大应用上。这项研究可以帮助研究人员对基于AI的聊天机器人有更广泛和更深入的了解，并为基于AI的聊天机器人领域的聚合性能提供洞察。



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