READ THIS FIRST!

This page presents a simplified sample version of the app and database, allowing you to test functionality before downloading the full project, setting up devices, configuring the database, and compiling the complete app for data collection.

• In this test version, you can use the login screen on the first (left) smartphone mockup to simulate user login with a study group code and participant number—credentials that would typically be provided by the research team.
• Upon the first successful login, data collection begins automatically. While data collection is in progress, the second (middle) smartphone mockup displays the live app interface as it appears to participants. Users can pause data collection at any time using the toggle button.
• On top of the smartphone mockups, you’ll see a mock Firestore database. In the settings_profiles collection, there are three pre-defined profiles (INT, CON, and _default_) that contain dynamic sampling parameters for testing. In a real deployment, researchers would configure these before distributing the app. By exploring these profiles, you can view how each group’s data sampling intervals are set. When a user logs in with a code matching INT or CON, they inherit that group’s settings. Otherwise, the default settings are used.
• When a new user logs in for the first time, a new document is created under the users collection using the format CODE_NUMBER. Under each user document, there are two subcollections: settings and events
• In the settings subcollection, you’ll find the user-specific sampling configuration, initially inherited from the corresponding group profile. These settings can be edited independently and won’t affect the original group profile or other users in the same group. All time intervals are in milliseconds.
• In the events subcollection, you'll see multimodal data being logged continuously based on the active sampling intervals, as long as the user is logged in and data collection is toggled on.
• The third (right) smartphone mockup illustrates the dashboard app's interface that researchers use to monitor user activities and compliance. It lists all users, each preceded by a colored marker that reflects user activity status. Clicking a username expands details showing each unique event with its most recent timestamp. If a user’s most recent activity falls outside a predefined timeframe, the marker is red, indicating inactivity. Otherwise, it is green, indicating recent activity. For this test page, the timeframe is set to 10 seconds for convenience. In the real app, the default is 2 days but can be configured by researchers according to study protocols.

Please note that this is a simplified simulation. The actual app and database include additional features and logic not shown here.

For more details, refer to documentation at https://github.com/iansulin/Stanford_Screenomics.