Bibliometric Analysis of Human‑Centered AI Research in Southeast Asia (2015–2025)
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Abstract
This study does a bibliometric analysis of human-centered artificial intelligence (HCAI) research in Southeast Asia from 2015 to 2025, with the objective of mapping publishing trends, conceptual frameworks, and collaborative networks in the region. The investigation, utilizing the Scopus database and visualization tools like VOSviewer and Bibliometrix, indicates that fundamental AI concepts—namely artificial intelligence, machine learning, and deep learning—function as pivotal anchors in the literature. These technical themes increasingly converge with human-centered areas, including explainable AI, user-centered design, ethical technology, and healthcare applications. The research designates Singapore as the preeminent center for regional and international collaboration, succeeded by Malaysia, Indonesia, Vietnam, and the Philippines. Institutional networks prioritize significant contributions from technological universities and medical research institutions. The results demonstrate a distinct transition towards integrative and value-oriented AI research that incorporates transparency, user empowerment, and social accountability in technical advancement. This study offers a comprehensive assessment of current scholarship and identifies prospects for future research, policymaking, and international collaboration in promoting human-centered AI throughout Southeast Asia.
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