Authors - Vittorio Kuonadi Karimun Lie, Farrell Prema Tody, Gabriel Rinaldy Sudarmawan, Tiurida Lily Anita Abstract - The integration of biometric authentication technologies into smart hospitality environments introduces new challenges related to usability, privacy, and trust. This study evaluates biometric room access systems from a Human–Computer Interaction (HCI) perspective, focusing on how perceived security, perceived utility, perceived privacy, and perceived ease of use influence guest experience through trust. A study design that is quantitative was employed, and data were collected from 150 hotel guests who had previously used biometric room access. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to assess the suggested model. The results indicate that the model ex-plains 63.8% of the variance in guest experience and 59.1% of the variance in trust. Trust emerges as the strongest predictor of guest experience, while perceived privacy and perceived security significantly influence experience indirectly through trust mediation. In contrast, usability-related factors demonstrate comparatively smaller effects once baseline functionality is achieved. These findings suggest that biometric authentication in smart environments operates as a trust-sensitive socio-technical system, where perceived data governance and psychological assurance are critical determinants of experiential evaluation. The study contributes to intelligent systems research by demonstrating that authentication technologies embedded in physical access control contexts must integrate technical robustness with perceptual trust-building mechanisms to achieve sustainable user acceptance.
