Impact of Artificial intelligence on Mental Satisfaction of Mobile healthcare Users: A SEM Approach

Abstract

Purpose: The purpose of this study is to investigate the impact of artificial intelligence (AI) on the mental satisfaction of users in the context of mobile healthcare applications. As AI technologies become increasingly integrated into mobile healthcare platforms, understanding their influence on user satisfaction is essential for optimizing these applications for the well-being of individuals.

Design/methodology/approach: Conduct an extensive review of existing literature on the utilization of AI in mobile healthcare and its effects on user satisfaction and mental well-being. Collect data through surveys or interviews from mobile healthcare application users to assess their experiences, perceptions, and levels of satisfaction, with a specific focus on the AI features. Employ SEM to analyze the relationships between AI utilization, user satisfaction, and its impact on mental well-being. Use established constructs and latent variables to model the complex interactions within the system.

Findings: The results revealed that Artificial Intelligence has a significant Impact on Mental Satisfaction of users. Additionally the sub-constructs have also shown a significant impact on the mental satisfaction of the users like Patient Engagement, Customer Review etc.

Practical implications: This study can guide mobile healthcare application developers in optimizing their platforms by providing insights into how AI features can positively influence user satisfaction and mental well-being By understanding the link between AI and user satisfaction, healthcare app designers can create more user-centric solutions, leading to improved overall healthcare experiences. Insights from this study may inform policy decisions related to the integration of AI in healthcare applications, ensuring user well-being and data privacy.

Originality/value: This research contributes to the literature by focusing on the relatively unexplored area of AI's impact on the mental satisfaction of mobile healthcare users. By applying SEM, the study aims to offer a holistic understanding of the complex relationships in this context, which has not been extensively examined before. The originality lies in bridging the gap between AI technology and user well-being in the specific context of mobile healthcare applications.