BanAware - Mobile based EMA App
Published in Both Android and iOS, 2023
The application offers customization options tailored to individual user preferences, serving to both improve and safeguard participant privacy. Additionally, it incorporates elements of gamification, such as a star reward system, rewarding users for actively engaging in the research, encouraging them to record their conditions. Furthermore, the app possesses a robust feature that allows for the sending of reminders (notifications) to users, making it an effective tool for all types of digital health initiatives.
You can find the code for this app in this public repository on Github.
Recommended citation: Sun, Y., Kargarandehkordi, A., Slade, C., Jaiswal, A., Busch, G., Guerrero, A., ... & Washington, P. (2024). Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study. JMIR Research Protocols, 13(1), e46493. https://www.researchprotocols.org/2024/1/e46493