From: Predicting subjective well-being in a high-risk sample of Russian mental health app users
Feature type | No of features | Example feature name | Description |
---|---|---|---|
Total time logged in category by a user | 9 | GAME | Total time logged in Game apps by a user |
Total time logged in category in time period by a user | 72 | GAME_21-24 | Total time logged in Game apps between 21 and 24Â h by a user |
Total time logged in category in time period/total time logged in category by a user | 72 | PHOTOGRAPHY_0-3/PHOTOGRAPHY | Ratio of time logged in Photography apps between 0 and 3 AM to total time logged in Photography apps by a user |
Total time logged in category in time period/total time logged in time period by a user | 72 | EDUCATIONÂ + PRODUCTIVITY_15-18/15-18 | Ratio of time logged in Education+Productivity apps between 15 and 18Â h AM to total time logged in apps between 15 and 18Â h AM by a user |