Evolution and Knowledge Structure of Assistive Technology Adoption for Dysarthria: A 20-Year Bibliometric Study

This study presents a comprehensive bibliometric analysis of innovative assistive technology adoption in dysarthria research from 2004 to 2024, addressing the critical need to understand how various factors influence the successful implementation of such technologies. Utilizing VOSviewer software to systematically analyze 569 documents, the research explores publication trends, collaborative networks, knowledge clusters, and the relationships among variables that affect adoption outcomes. The findings reveal significant growth in the field, with the number of publications rising from 14 in 2004 to 80 in 2024, indicating increased academic interest and technological progress. Distinct collaborative networks primarily centered in North America and Europe are identified, and emerging contributions from Asia are noted. Seven knowledge clusters are identified, reflecting the field’s progression from foundational clinical applications to advanced technological solutions that incorporate artificial intelligence and machine learning. Notably, the study develops an integrated framework that synthesizes antecedent variables, mediating mechanisms, and outcomes that influence the success of technology adoption. This framework addresses a key gap in understanding how technical, clinical, and human factors interact during implementation. The research clarifies the need for expanded international collaboration, deeper integration of emerging technologies into clinical practice, and the development of culturally responsive implementation strategies. Moreover, the findings offer valuable guidance for researchers, practitioners, and healthcare systems seeking to enhance communication outcomes for individuals with dysarthria through effective assistive technology adoption.