A Bibliometric Analysis of Artificial Intelligence in Human-Computer Interaction: Insights from Core Web of Science Literature

The integration of Artificial Intelligence (AI) into Human-Computer Interaction (HCI) is rapidly evolving, driving significant advancements across various domains. This study presents a comprehensive bibliometric analysis of AI in HCI, based on 149 articles retrieved from the Core Collection of the Web of Science. The analysis explores publication trends, key research themes, influential authors, and emerging areas within the field. Using bibliometric tools, we identify citation networks, co-authorship patterns, and keyword co-occurrence to provide insights into the current research landscape and future directions. The findings highlight the interdisciplinary nature of AI in HCI, showcasing its application in user experience design, adaptive systems, and intelligent interfaces. This study contributes to a deeper understanding of the field's development and offers guidance for researchers and practitioners aiming to leverage AI for enhanced human-computer interactions.