Multi-modal distraction detection

There is documented evidence, such as the recently published AAA-funded study, that use of cellphones distracts drivers and causes accidents. We have been working on a solution that lets the drivers use their phones until they become distracted, automatically predicting these moments. The main goal of this project is to design a data collection effort that includes high cognitive load and the use of the subject’s own smartphone. This data collection will help to improve automatic algorithms for distraction detection.