Jennifer Matthiesen
Leuphana University of Lüneburg
Institute of Information Systems
Machine Learning Group
Universitätsallee 1, C4.308b
21335 Lüneburg
Universitätsallee 1, C4.308b
21335 Lüneburg
About Me
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.
Research Interest
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.
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.
Teaching
- Decomposing Neural Networks (W22)
- Einführung in die Programmierung mit Python zur Datenanalyse (W20, W21)
- Programmierung in Python (Professional School) (S21, S22, S23)
Publications
-
J. J. Matthiesen, H. Hastedt, U. Brefeld. User Authentication via Multifaceted Mouse Movements and Outlier Exposure. Proceedings of Intelligent Data Analysis, 2023.
[Paper] [ExpLiD Paper] -
J. J. Matthiesen, U. Brefeld. When more is less. Adverse Effects in Outlier Exposure(abstract). Proceedings of the Northern Lights Deep Learning Workshop, 2022
[Abstract] [Poster] - J. J. Matthiesen, U. Brefeld. Assessing User Behavior by Mouse Movements. International Conference on Human-Computer Interaction, p68-75, 2020.
- J. J. Matthiesen, M. B. Holte. Simple Mouse Attribute Analysis. International Conference on Human-Computer Interaction, p95-113, 2019.
Awards
- Teaching award for Decomposing Neural Networks (W22)
- Best paper award for "Simple Mouse Attribute Analysis"
User Authentication via Multifaceted Mouse Movements and Outlier Exposure
Authors:
Jennifer J. Matthiesen, Hanne Hastedt, Ulf Brefeld
Publication date:
2022/04/01
Conference:
International Symposium on Intelligent Data Analysis
Pages:
300–313
In this working paper, we study user identification via mouse movement. Instead of treating the problem as a multi-class classification task, we cast user identification as a one-class problem and propose to learn an individual model for every user. Preliminary empirical results show that our approach works for some but not all users. We report on lessons learned.
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