Human-computer interaction in digital art: an analysis of international research trends using CiteSpace

This study employs the CiteSpace bibliometric tool to conduct a visualisation analysis of relevant literature in the fields of digital art and human-computer interaction within the Web of Science Core Collection from 2021 to 2025 (excluding publications from November 25 to December 31). The aim is to systematically reveal the international research landscape in this domain. Through multidimensional analysis including co-citation networks, collaboration networks, keyword cooccurrence, and timeline maps, the study finds: the knowledge structure exhibits multi-disciplinary convergence centered on “experience,” forming a triangular architecture integrating technology, applications, and human-centered evaluation; research contributions follow a pattern of “Asia-Pacific dominance in output and Europe's leadership in impact,” while collaboration networks coexist in regional clusters and transcontinental hubs; Research frontiers are shifting from technical environment construction toward micro-level cognitive measurement of user experience, with emerging directions like digital twins signaling trends toward virtual-physical integration. This study provides a systematic knowledge map for the field and offers reference points for future interdisciplinary convergence and innovation directions.