Method of Graphical User Interface Adaptation Using Reinforcement Learning and Automated Testing

Abstract—Graphical user interface adaptation becomes an increasingly time-consuming and resource-intensive task due to modern programs complexity and a big variety of information output devices. In this paper we propose a method for adapting a graphical user interface based on a person's workflow using a specific implementation of the interface. This method makes it possible to adapt the interface to the peculiarities of the user's workflow through optimization in the navigation area between program windows.