Figure 1. The Superpower Glass Intervention .

The child wears smart glasses (A), which are wirelessly synced to an Android smartphone application (B), which runs the machine learning classifiers for face tracking and emotion detection, enables game choice, launches the games, and records the videos for later parent review. The outward facing camera of the glasses captures facial image data that are transmitted to the smartphone for immediate classification. A green box appears in the peripheral monitor of the glass units when a face is detected. In addition, an emoji corresponding to 1 of 8 emotions appears in the monitor when an emotion is detected. Both can appear at the same time, as demonstrated in C. The Superpower Glass intervention primarily consists of these 2 components, with the first encouraging facial awareness and the second teaching correct labeling of the emotion exhibited by the child’s social partner. The display allows colors and emoticons to be seen by the child within their peripheral field of view and does not require direct gaze. The form factor therefore rarely averts attention.