Integrating embodied cognition with the UTAUT model to investigate factors influencing the adoption of home-based health monitoring systems

Abstract

Objective: Factors influencing users’ adoption of the home-based health monitoring system (HHMS) were examined by integrating embodied cognition with the unified theory of acceptance and use of technology (UTAUT) model. Methods: Data from 459 survey respondents were analyzed using partial least squares structural equation modeling (PLS-SEM). Results: The model explained 59.7% of the variance in behavioral intention to use the HHMS (typical range: 40%–60%). Perceived contextual adaptation, perceived sensorimotor feedback, and perceived body awareness significantly influenced behavioral intention. Perceived body awareness (i.e., an individual’s ability to perceive and interpret bodily signals) was identified as a crucial factor affecting performance expectancy, effort expectancy, facilitating conditions, and social influence. Conclusions: The integration of embodied cognition with the UTAUT model contributes to theoretical advancements and demonstrates the importance of body awareness in users’ adoption of the HHMS, providing practical guidance for the effective design of HHMS.