Untersuchung individueller Lernunterschiede innerhalb eines Produktionsumfelds mithilfe physiologischer Messungen

XR applications are currently 'one-size-fits-all' solutions that provide the same amount of information regardless of individual information processing. We want to change that. In this experiment, eye-tracking and heart rate (variability) will be used to draw conclusions about individual information processing.

The tasks within this master’s thesis include recruiting and conducting an experiment, processing and analyzing physiological measurement data (eye-tracking and HR/HRV), as well as the statistical evaluation of performance and physiological data.

Your benefits:

The opportunity to actively contribute to the research projects of the department and to publish your achieved results.
The opportunity for personal development in an inspiring research environment and to actively shape current research topics of high scientific relevance.
The thesis is part of the Research Track. Further related information about the thesis process can be found in the guidelines for writing theses at the LSWI.

• Currently enrolled in a scientific university program (Master’s degree in subjects such as Business Informatics, Computer Science, Psychology, or related fields)
• Enjoy conceptual and independent work as well as the ability to quickly familiarize yourself with new areas
• Good self-organization
• Reliable working style
• Programming experience
• Statistic experience