timweiss / senseeverything

SE fork for Social Interaction Sensing

SenseEverything (for Social Interaction Sensing)

Social Sensing environment.

Tasks

• Use WorkManager to schedule backend pushes
• Implement API in app (pushing data, showing study name)
• Revamp AppSensor so it actually retrieves the currently open app (probably with AccessibilityService)
• Add radio frequency (maybe Bluetooth and WiFi?) sensor
• Add notification sensor
• Detect if a conversation happens (see openSMILE)
• Allow to sample on lock/unlock and continuously in a set interval (maybe we can define some sensors to run in a periodic interval and others to sample on interaction)
• Sample whenever the device gets unlocked
• Create simple backend that receives pushed data (audio and other sample readings)
• Add (crude) study enrolment interface
• Integrate AudioSampleService to use default content pipeline

Components

• Android App: The app that records sensor data. Needs to be installed on participant's devices
• Backend: The backend that allows for data storage. Deployed on a server.

Note

See the component's respective READMEs for more information.

Acknowledgements & References

Based on the SenseEverything app.

• Weber, D., & Mayer, S. (2014). LogEverything. GitHub Repository. Retrieved from https://github.com/hcilab-org/LogEverything/