Towards an API for User Attention Prediction in Mobile Notification Overload

Abstract

Mobile device users receive a lot of notifications per day. Some important notifications may be lost because of notification overloading. For some user, losing a notification can generate serious problems. This work proposes an Application Programming Interface (API) that uses context-awareness and machine learning to predict user attention to support mobile application developers and increases the chances of a important notification to be attended.