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Macau Periodical Index (澳門期刊論文索引)
- Author
- Chen, Renzhang；Zhao, Haixia
- Title
- AI chatbot research: a bibliometric analysis of advancements and trends
- Journal Name
- 澳門科技大學學報
- Pub. Info
- Mar 2025, Vol. 19, No. 1, pp. 177-213
- Link
- https://www.mustjournal.com/CN/10.58664/mustjournal.2025.03.006
- Keyword
- Chatbots；Human-Computer Interaction；Conversational agents；Deep Learning；Bibliometric analysis
- Abstract
- The meteoric rise of ChatGPT has ignited the so-called “chatbot tsunami, ” propelling AI chatbots into the vanguard of technology research and development. This study conducts a comprehensive review of AI chatbot research from 2000 to 2023, harnessing bibliometric and content analysis methods facilitated by VOSviewer software. Quantitative and visual analyses of 1, 236 relevant documents retrieved from the Web of Science in May 2023 unveil AI chatbots as an interdisciplinary research domain. The most influential authors are identified from three distinct fields: human-computer interaction, human-related, and computer-related research. Key research foci encompass AI technologies, digital health and education, conversational AI, COVID-19 applications, customer service, and sentiment analysis. Building upon the bibliometric findings, we delineate the developmental trajectory of AI chatbot research and propose a conceptual framework to guide future endeavors. Furthermore, we outline prospective research avenues for AI chatbots, including advancements in AI capabilities, optimization of human-computer interaction design, and fostering interdisciplinary synergies. This comprehensive review elucidates the AI chatbot research landscape, offering valuable insights to steer both academic pursuits and industrial applications in this burgeoning field. Paragraph Headings: 1. Introduction 2. Research methodology 2.1. Data source and processing 2.2. Analytical methods and tools 3. Bibliometric analysis 3.1. Publication year analysis 3.2. Geographical distribution analysis 3.3. Cited sources co-citation analysis 3.4. Cited authors co-citation analysis 3.5. Author keywords co-occurrence analysis 3.5.1. Research related to AI technologies 3.5.2. Research related to digital health and education 3.5.3. Research related to conversational AI 3.5.4. Research related to COVID-19 3.5.5. Research related to customer service 3.5.6. Research related to sentiment analysis 4. Discussion 4.1. AI chatbot research trend under the perspective of time 4.2. Towards a conceptual framework for AI chatbot research 4.3. Suggestions on future research of AI chatbot 4.3.1. Continuously upgrade the intelligent technology 4.3.2. Focus on the HCI design 4.3.3. Strengthen the promotion of interdisciplinary research and practice 5. Conclusion Tables: 1. The geographical distribution (Top 10) 2. Research concepts and hot topics Figures: 1. The structure of this paper 2. Statistic of publications 3. The mapping of cited sources co-citation analysis 4. The mapping of cited authors co-citation analysis 5. The mapping of author keywords co-occurrence analysis 6. The temporal evolution mapping of keywords 7. Conceptual framework for AI chatbot research