Humans are fascinating - how they behave, feel, interact, learn, or think. For over a decade, I've approached that fascination from different angles: psychology, human-centered design, and neuroscience.

My work is driven by two things at once: a deep care for people's well-being and a thorough curiosity as a researcher. It always begins with understanding people - psychologically, behaviourally - and in my case that goes one layer deeper, into neuroscience: how the brain really processes information, the ground truth behind thoughts and feelings.

Understanding, though, is only the starting point. What matters is applying the science: turning basic research into results that make a real difference, which is what drew me to human-centered design and human factors. My PhD extends that same drive: how can we move brain-computer interfaces (BCIs) out of the lab and into everyday life. A crucial part of that is making our research genuinely more user-oriented.

Coming soon.

1. 2026 Preprint

   Pan, Y., Rabe, L., Zander, T., & Klug, M. (2026). Seamless interaction in VR: Decoding user intent with eye gaze and passive brain–computer interfaces. bioRxiv. https://doi.org/10.64898/2026.07.06.736575

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2. 2026 Preprint

   Klug, M., Rabe, L., Zander, T. O., & Gramann, K. (2026). A window to the mind: Multimodal eye and body metrics outperform self-reports in tracking situation awareness [Preprint]. SSRN. https://doi.org/10.2139/ssrn.5734932

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3. 2026 Preprint · In Press

   Rabe, L., & Schröder, F. (2026). Why ‘userless’ neuroadaptive technology is a problem and how to solve it. In M. Klug & T. Zander (Eds.), Neuroadaptive Technology Conference 2026 Proceedings (NAT'26). BTU Cottbus-Senftenberg. Advance online publication.

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4. 2025 Conference

   Rabe, L., Pan, Y., Zander, T., & Klug, M. (2025). Identifying neural indicators of category learning for real-time BCI: Preliminary insights. In M. Klug & T. Zander (Eds.), Neuroadaptive Technology Conference 2025 Proceedings (NAT'25) (pp. 28–30). BTU Cottbus-Senftenberg. https://doi.org/10.26127/BTUOpen-7215

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5. 2024 Conference

   Rabe, L., Pan, Y., & Klug, M. (2024). EEG-based stimulus classification in a full-body movement, virtual reality paradigm. Verlag der Technischen Universität Graz. https://doi.org/10.3217/978-3-99161-014-4-043

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6. 2023 Journal

   Kaffes, M., Rabe, L., Rudolph, A., Rentzsch, J., Neuhaus, A. H., & Hofmann-Shen, C. (2023). Impact of emotional valence on mismatch negativity in the course of cortical face processing. Current Research in Neurobiology, 4, 100078. https://doi.org/10.1016/j.crneur.2023.100078

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7. 2019 Conference

   Radüntz, T., Fürstenau, N., Tews, A., Rabe, L., & Meffert, B. (2019). The effect of an exceptional event on the subjectively experienced workload of air traffic controllers. In L. Longo & M. C. Leva (Eds.), Human Mental Workload: Models and Applications (H-WORKLOAD 2018) (Communications in Computer and Information Science, Vol. 1012). Springer. https://doi.org/10.1007/978-3-030-14273-5_14

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8. 2015 Journal

   Labs, A., Reich, T., Schulenburg, H., Boennen, M., Golz, M., Hartigs, B., Hoffmann, N., Keil, S., Perlow, M., Peukmann, A. K., Rabe, L. N., von Sobbe, F. R., & Hanke, M. (2015). Portrayed emotions in the movie “Forrest Gump”. F1000Research, 4, 92. https://doi.org/10.12688/f1000research.6230.1

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