Anchr is an award winning Android prototype that provides a foundation for researchers to test whether haptic interventions can help interrupt prolonged high-intensity scrolling behaviour. The prototype also collects behavioural data that can be analysed and used to support machine learning and dynamic configuration at a later stage. In the long term, Anchr is intended to support the development of a more advanced, adaptive application that helps reduce prolonged scrolling behaviour for end users, particularly individuals with ADHD.
Built for Capstone Project CS399, my role on the development team was Technical Lead for the entire system while doing devops and design for the backend system and integration
Technical Highlights
- Custom App Tracking Algorithm: For both YouTube and Instagram a custom algorithm tracks exact phone usage and scrolling patterns developed by reverse engineering and Android Accessibility API
- Streamline Logging/Service: Entire service runs completely in the background using minimal battery life and logs deep data for data analysis and future machine learning development
- Customisable Parameters: Control both thersholds and haptic settings dynamicly with full controll of three levels of thresholds and 5 unique haptic patterns
Awards
Anchr is award winning, winning the Best Computer Science Capstone Project Excellence Award for its design, development and achivement during the short 12 week development.
Poster
