The »Young Investigator Group – Intuitive XR« is researching and developing physiological user interfaces (PUIs) for virtual and augmented reality (VR/AR). The aim is to enable intuitive interactions with virtual worlds by capturing users' mental states and using them to control the environment. Various measurement methods such as electroencephalography (EEG), electromyography (EMG), electrocardiography (EKG), and eye-tracking are combined for this purpose.
The group first investigates how different electrode technologies can best be combined with VR headsets. This includes the application and improvement of analysis methods for data cleaning, AI algorithms for classifying different mental states, and the creation of a toolbox for easy application of the research. Subsequently, the developed methods are embedded in novel demonstration applications, with a particular focus on the usability of the technologies and the psychological-cognitive effects of these interfaces. Finally, through industry collaborations, knowledge transfer to the economy is to be created, and the technology location of Lausitz strengthened.
By combining mobile brain/body imaging (MoBI), passive brain-computer interfaces (pBCIs), and VR/AR, the Young Investigator Group Intuitive XR is taking human-machine interaction to the next level. The developed PUIs could be applied in various areas, such as safety-critical environments, expert training, gaming, or teleworking.
Marius Klug studied cognitive science in Tübingen and was already in contact with EEG as a measurement method and brain-computer interface during that time. He subsequently earned his doctorate in the field of mobile brain research under Prof. Klaus Gramann at TU Berlin. There, he extensively dealt with EEG analysis methods and virtual reality as an experimental method. Specifically, the application of EEG in a mobile context, the cleaning of data, and their interpretation in conjunction with other measurements, such as body and eye movements, were the focus of the research. The continuation of this research can now be found at BTU in the form of the practical use of psychophysiological measurement methods as an interface for real-time applications.