Abstract: The impact of digital revolution on mental health therapies is examined in this research. As explained in the paper, the delivery of mental healthcare is being revolutionized by digital transformation, which is providing creative answers to the problems associated with mental health illnesses. But knowing and managing user approval is crucial to the effective integration of digital transformation approaches into mental health therapies. To investigate user’s acceptance regarding digital transformation in Mental Health therapies, this study outlines a modeling-based method based on a well-established Unified Theory of acceptability and Use of Technology theory, abbreviated as UTAUT. This study delves into the base constructs of Expected Performance, Expected Effort, Social Influence, Conditions facilitating the use of proposed solution, Hedonic Motivation, and Value for Money, utilizing the UTAUT model as a framework. By employing Structural Equation Modelling (SEM) in a thorough study, the goal of this research is to identify statistical correlations that impact user acceptance dynamics. To offer context-specific insights, this article also delves into digital mental health solutions, including teletherapy platforms, mood monitoring smartphone applications, and virtual reality-based exposure therapy. This study enhances accessibility, engagement, and results for people seeking mental health care by providing a deeper knowledge of user acceptability, which aids in the creation and roll-out of digital mental health solutions.

Mohammed Alojail, “UTAUT Model for Digital Mental Health Interventions: Factors Influencing User Adoption” International Journal of Advanced Computer Science and Applications(IJACSA), 15(8), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150860

@article{Alojail2024,
title = {UTAUT Model for Digital Mental Health Interventions: Factors Influencing User Adoption},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150860},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150860},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {8},
author = {Mohammed Alojail}
}