Optimizing Human-System Interaction in Sensor-Enabled IoT Healthcare Systems A Computational Perspective on Trust and Perceived Autonomy
Sami ar razi , Jundi Agam Wahyudi, Andreas Wijaya

BINUS University

Abstract

The rapid advancement of Internet of Things (IoT) technologies has accelerated the development of intelligent, sensor-enabled healthcare systems capable of improving healthcare accessibility, real-time monitoring, and computational service responsiveness. However, the effectiveness of IoT healthcare infrastructures depends not only on technological capability but also on sustained human-system interaction to ensure optimal system utilization. This study aims to examine the determinants of interaction efficiency in IoT-enabled healthcare systems by evaluating the roles of trust, perceived autonomy, and self-development within computational healthcare environments. A quantitative approach was employed using purposive sampling targeting Generation Z users due to their high adaptability toward digital healthcare interfaces and smart technologies. A total of 152 responses were collected and analyzed using Structural Equation Modeling (SEM) to assess the proposed interaction framework in intelligent healthcare systems. The findings indicate that trust significantly enhances both perceived autonomy and user interaction, suggesting that system reliability and technological credibility are critical for improving utilization effectiveness in sensor-enabled healthcare platforms. However, trust does not significantly influence self-development. Furthermore, perceived autonomy significantly mediates the relationship between trust and user interaction, whereas self-development does not function as a significant mediator. These findings highlight that sustainable interaction in computational healthcare systems is primarily influenced by reliability-driven trust and perceived user control. This study contributes to instrumentation and computational healthcare literature by providing insights into optimizing human-system interaction for intelligent IoT healthcare infrastructures.

Keywords: Internet of Things (IoT), Intelligent Healthcare Systems, Computational Healthcare, Human-System Interaction, Sensor-Enabled Systems,

Topic: Instrumentation and Computational Physics