Oftentimes, use of a device results in a change user focus from a real-world activity to the device screen. In many cases, such an attention shift has a negative impact on the user and the ongoing real-world task. This disclosure describes application of a trained machine learning model to detect when the user’s attention to an ongoing real-world task is diminished due to device use. When such a switch is detected, a special assistive operating mode is activated for the device. The mode enables mechanisms aimed at helping the user stay informed of the ongoing real-world task and notifying them when it might be necessary to switch attention. The techniques are implemented upon specific user permission and can be turned off by the user at any time.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.