Jennifer Matthiesen

Leuphana University of Lüneburg · Institute of Information Systems

The COVID pandemic made home office organization a necessity. Even beyond COVID-19, many employees will want to continue working, at least part-time, from home. The home office trend has various advantages and drawbacks from both the employer's and the employee's perspectives. Therefore, determining the ideal proportion of home office work for e...

Gaining information about how users interact with systems is key to behavioural biometrics. Particularly mouse movements of users have been proven beneficial to authentication tasks for being inexpensive and non-intrusive. State-of-the-art approaches consider this problem an instance of supervised classification tasks. In this paper, we argue that...

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...

This work investigates the potential bivariate correlations between selected pattern related mouse attributes and a set of factors for the determination of the satisfaction with the usability. To examine this, a prototype tool for the analyzation and characterization of mouse attributes, Simple Mouse Attribute Analysis (SMATA), within the usage of...