Psychological Barriers and Perceptual Drivers of Sensor-Based Smart Health Technology Adoption

Smart health technologies integrating radar sensors enable non-invasive, real-time health monitoring and are central to future-oriented healthcare systems. However, psychological and perceptual barriers may hinder their adoption. This study extends the Technology Acceptance Model (TAM) by incorporating Perceived Credibility (PC) and Technology Anxiety (TA) to examine user acceptance of radar-based health monitoring systems. A quantitative survey was conducted with 222 participants in Binh Duong Smart City, Vietnam. Structural Equation Modeling (SEM) was used to analyze the relationships among variables. Results reveal that PC is significantly associated with Perceived Usefulness (PU) and Perceived Ease of Use (PEOU), which subsequently affect Attitude Toward Use (ATU) and Intention to Use (ITU). Technology Anxiety acts as a psychological barrier, moderating the impact of PC and PEOU on PU, and negatively influencing ATU and ITU. Furthermore, students reported lower PEOU and ITU compared to non-students, suggesting subgroup-specific challenges in adopting sensor-based health systems. These findings enhance understanding of psychological dynamics in the adoption of sensor-integrated health technologies and provide practical implications for designing user-centered smart health solutions that build trust and reduce anxiety.