User Preferences for AI-based Healthcare Apps: an Association Mining Analysis

This study investigated the factors influencing user preferences for AI-based healthcare apps. The study found that factors such as gender, real-time updates, ease of use, customization, cost, and privacy and security are all important considerations for users. The study also found that there are significant associations between different factors and the perceived importance of specific features and attributes of AI-based healthcare apps. For example, females are more likely to value privacy and security when considering real-time updates as extremely important. Additionally, users who prioritize usability, customization options, and real-time updates are more likely to perceive accurate recommendations as extremely important. The findings of this study emphasize the importance of considering factors such as gender, real-time updates, ease of use, customization, cost, and privacy and security when designing and developing AI-based healthcare apps. By understanding the preferences and factors influencing users’ decisions, developers can tailor their apps to better meet the needs and expectations of individuals, ultimately enhancing user satisfaction and engagement.