Abstract
In this paper, we show how recordings of gaze movements (via eye tracking) and brain activity (via electroencephalography) can be combined to provide an interface for implicit selection in a graphical user interface. This implicit selection works completely without manual intervention by the user. In our approach, we formulate implicit selection as a classification problem, describe the employed features and classification setup and introduce our experimental setup for collecting evaluation data. With a fully online-capable setup, we can achieve an F 0.2-score of up to 0.74 for temporal localization and a spatial localization accuracy of more than 0.95.