Nutzung von Blickbewegungen für die Mensch-Computer-Interaktion mit dynamischen Bildinhalten am Beispiel der Videobildauswertung

The dynamic content in image sequences including moving objects is challenging for a user’s perception, cognition and action. This dissertation investigates whether enhancing the user interface by eye tracking might improve user performance and reduce workload. As an eye tracker provides the gaze location on screen, gaze-based interaction is considered as intuitive for pointing tasks. This dissertation identifies appropriate gaze-based interaction techniques for moving object selection and evaluates them in several user studies, including one longitudinal study. Moreover, this dissertation considers the combination of gaze-based interaction together with automated image exploitation algorithms as well as the issue whether gaze-based classification of the user task is possible.