I am a PhD student at the Machine Learning Group of Prof. Dr. Ulf Brefeld at the
Leuphana University of Lüneburg.
I received a Master of Science in Mediology at the Aalborg University and my Bachelor in Digital Media (minor: E-Business) at the Leuphana University of Lüneburg.
In my Ph.D. studies I am investigating mouse movement for determining users, user intention and behaviour.
The evaluation of the mouse information is usable to measure the users’ mood, draw conclusions about a users’ satisfaction, or get information about a users’ working behaviour and performance.
At this, I take a closer look on one-class approaches (esp. anomaly detection), time series analysis and cursor-motif discovery.
Understanding users and their behaviour is of high interest in Human-Computer Interaction (HCI) since this can be used to personalise the user interface and ensure a satisfying user experience. Such personalisation increases long term user engagement and, as a side-effect, also drives up other aspects of the services, for instance, revenue. The aim is to leverage machine learning techniques to investigate data from mouse movements to identify single users and predict the short- and long-term behaviour of users.