Users’ Intention to Use Mobile Health Applications for Personal Health Tracking

This study aimed to analyze factors influencing the intention use mobile health applications for personal tracking (PHT). The respondents were 516 individuals who had used a PHT application, such as Samsung Health, iOS or MiFit. Data processing was done via using partial least squares–structural equation modeling (PLS-SEM). uncovered that can affect applications, including perceived usefulness, social influence, facilitating conditions, hedonic motivation, habits, performance risk, and self-health awareness. It found ease of self-reported condition do not applications. provide guidance on application service providers ensuring data accuracy, increasing user satisfaction when preventing privacy violation.