Apple Android Wellbeing Sensing
- OVERVIEW
- DATA SOURCES
- THE FIVE PILLARS METRICS
- Career
- Social
- Physical
- Financial
- Community
- MODELLING
- ARCHITECTURE
- Front-end
- Back-end
- PRIVACY
OVERVIEW
Aawsen is a framework built for continiuously wellbeing sensing and intervention. It has a core which calculates user’s well-being score depends on various data source.
DATA SOURCES
- In-app activities, e.g., diary notes, messages and social interaction traces
- OS Level activities, e.g., Battery, Screen time, Installed Apps.
- Phone-based Sensors, Wearables, e.g., Ambiant Light, GPS Locations, Health Data.
- Public Data, e.g., Human Development Index, GDP/PPP, Crime Rate, Air/Water Pollution.
- Survey Data, e.g., Big-five Personality, Perma, Character Strength, Subject Wellbeing Index.
THE FIVE PILLARS METRICS
Data collected from different sources are extracted and transformed into metrics under five pillars. These pillars are shown to end-user.
Career
Social
Physical
Financial
Community
MODELLING
- Logistic Regression
- Random Forest
- Multi-task Learning
- Structural Equation Model
ARCHITECTURE
Front-end
- iOS, iPad OS, watchOS, macOS
- Android
Back-end
- AWS AppSync
- AWS DynamoDB
- AWS Lambda
- AWS S3
- AWS Glue
- AWS Sagemaker
PRIVACY
We’ll never sell you data to any third-party orgnizations. Your data is only used to promote your individual wellbeing but the aawsen model wil use your data to improve its prediction and intervention performance.