<![CDATA[The application of advanced medical technologies, such as Robotic Assisted Surgery (RAS), in Indonesia still faces challenges, particularly due to the low adoption rate despite the availability of technological infrastructure. This gap is reportedly influenced by psychological, technical, and social factors that shape public perceptions and decisions in accepting robotic surgical innovations. This study aims to analyze the determinants of RAS technology acceptance by examining the influence of Effort Expectancy, Performance Expectancy, Perceived Risk, and Social Influence on public adoption interest. An explanatory quantitative approach was employed by collecting data through questionnaires from 139 adult respondents in the Greater Jakarta area. The analysis was conducted using Structural Equation Modeling based on Partial Least Squares (SEM-PLS). The results showed that the model was able to explain 63.1% of the variance in acceptance interest. Performance Expectancy and Social Influence had a significant positive effect on adoption interest, while Perceived Risk had a significant negative effect and was the dominant inhibiting factor, particularly regarding cost and safety concerns related to the procedures. In contrast, Effort Expectancy did not show a significant effect. The novelty of this research lies in the development of the UTAUT model through the integration of Perceived Risk variables in the context of developing countries. The practical implications highlight the importance of cost transparency, evidence-based communication regarding safety, and the optimization of the role of medical personnel in enhancing public trust.]]>
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