Table 1.
Data streams collected by Effortless Assessment Research System (EARS) on Android and iOS and example behavioral features to which they can contribute.
| Data stream | Android | iOS | Relevant behavioral features |
| Accelerometer | ✓ | ✓ | Physical activity and sleep |
| GPS | ✓ | ✓ | Patterns of mobility and sematic location |
| Activity and motion | ✓ | ✓ | Physical activity |
| Music and media | ✓ | ✓ | Musical and emotional qualities of music listened to |
| Selfies | ✓ | ✓ | Facial expression |
| Typed text: content and timing | ✓ | ✓ | Language content analysis (eg, sentiment) and keyboard kinematics |
| Typed text: timing only | ✓ | ✓ | Keyboard kinematics |
| EMAa | ✓ | ✓ | Self-report of experiences, activities, and contexts |
| App usage | ✓ | Coming soon | Extent and timing of phone usage, broken down into specific app categories |
| Ambient light | ✓ |
|
Sleep patterns |
| Battery level |
|
✓ | Regularity of daily behavioral patterns |
| Charge status |
|
✓ | Regularity of daily behavioral patterns |
| Call status |
|
✓ | Frequency of social contacts |
aEMA: ecological momentary assessment.