Artificial Intelligence in Gaming: A Bibliometric Analysis of Research Outputs and Trends

This report provides a thorough bibliometric analysis of academic research on artificial intelligence (AI) in gaming, utilizing data obtained from the Scopus database. The analysis reveals noteworthy trends and offers unique insights into the area by analyzing publication numbers, citation impacts, authorship patterns, and geographical distribution. The most notable publication sources are highlighted, with the IEEE Conference on Computational Intelligence and Games (CIG) being the primary venue, followed by CEUR Workshop Proceedings and AAAI Workshop - Technical Report. Documents that have received a significant number of citations, such as those authored by Mnih V (2015) and Vinyals O (2019), are recognized for their pioneering contributions. Renowned writers such as Bulitko V, Togelius J, and Lucas SM are recognized for their significant contributions to the scientific community. The report also shows a significant rise in academic production after 2013, suggesting an increasing fascination and swift progress in the utilization of AI in gaming. The United States has the top position in terms of research contributions, with the United Kingdom and Canada following closely behind, demonstrating a significant global presence. The frequent utilization of terminology such as "artificial intelligence," "human-computer interaction," and "video game" highlights the research's emphasis on technology and user-centeredness. The research also recognizes constraints arising from its sole dependence on the Scopus database, which may result in the exclusion of pertinent papers that are indexed in other prominent databases such as Web of Science and Google Scholar. However, the report provides a comprehensive summary of the present condition and future prospects of AI research in gaming, serving as a basis for further investigation and advancement in this rapidly evolving sector.