The system described herein provides a sensor-based assessment of attention interruptibility. In a driving scenario, this system solves a persistent safety issue with regard to dangerous interruptions as they increase driver workload and reduce performance on the primary driving task. Being able to identify when a driver is interruptible is critical for building systems that can mediate these interruptions. The present invention utilizes sensor data collected from wearable devices and on-board diagnostics which can be used as input to build a machine learning classifier that can determine driver interruptibility in real-time.
Sensor-based assessment of attention interruptibility