m-Path Sense app analytics for September 10

The app is a tool for researchers to track their participants. Participants can fill in questionnaires that are sent to them by researchers. Participants are also tracked using multiple phone sensors: - App usage activity and list of installed apps. - Raw sensor data: Accelerometer, gyroscope, and light sensor. - Device information: Manufacturer, device model, type of operating system, etc. No unique device ID is gathered. - Screen activity: Screen on, lock, and unlock events. - Battery level (%) and status. - Available working memory. - Bluetooth, Wi-Fi and connectivity information. Bluetooth and Wi-Fi names and IDs are anonymised via a one-way cryptographic hash and therefore unreadable. - Mobility information: Time spent at home, public places and distance travelled, and GPS coordinates. - Physical activity information about activities of the user such as running, walking, etc. - Step count (pedometer). - Environment noise (decibel) via the microphone. This is processed directly in the app so that no audio data is saved. - Call and text activity. Phone numbers, names, and texts are all anonymised via a one way cryptographic hash and therefore unreadable. - Calendar information. Event title, description, and attendees are all anonymised via a one way cryptographic hash and therefore unreadable. - Information about current weather situation and air quality (online service using participants’ location).