RESEARCH TREND ON CHATBOT IN CONSTRUCTION: A BIBLIOMETRIC ANALYSIS

Abstract

The rapid advancement of Artificial Intelligence (AI) technologies has catalyzed transformative changes across various sectors, including the construction industry. Among these innovations, Chatbot has gained significant attention for its potential to enhance communication, automation, and decision-making processes. Despite its growing relevance, scholarly exploration of Chatbots within the construction domain remains fragmented and under-characterized. Thus, this study aims to address this gap through a comprehensive bibliometric analysis, offering a data-driven overview of current research trends, influential contributions, and thematic structures related to Chatbots in the construction industry. Utilizing a systematic search strategy, three key terms, “chatbot,” “ChatGPT,” and “construction,” were applied to extract data from the Scopus database. The initial search yielded 537 relevant publications. Data cleansing and refinement were performed using OpenRefine to ensure analytical precision and consistency, followed by detailed quantitative and network-based analyses conducted via Scopus Analyzer and VOSviewer software. The results reveal a noticeable increase in publication activity from 2023 onwards, with significant contributions from countries such as the United States, China, and Malaysia. Thematic clustering highlights core research areas, including AI-assisted project scheduling, prompt engineering, and educational applications of Chatbots in engineering curricula. High-impact authors and journals were also identified, delineating the intellectual structure of the field. Citation and keyword co-occurrence analyses further emphasize the interdisciplinary nature of the topic, linking AI, natural language processing, and construction management. In conclusion, this study offers a foundational mapping of the emerging research landscape at the intersection of Chatbot and the construction industry. It also provides valuable insights for academics, practitioners, and policymakers seeking to harness AI-driven tools for innovation in construction processes and education.