Prof. Dr.-Ing. Simon Schwerd

Research Professor, Associate Program Director for the “Intelligent Aerial Systems” (Master's program)

+49 841 9348-6417

Simon.Schwerd@thi.de

Room: K210

Subject Area: Human-machine interaction for unmanned aerial systems

Faculty: Fakultät M

Research

Assessment of Operator Cognitive States
Operator-Adaptive Assistance Systems
UAV Interaction Concepts

Vita

2010–2014: B.Sc. in Engineering, Technical University of Munich
2014–2016: M.Sc. in Mechanical Engineering, Technical University of Munich
2017–2022: Research Assistant at the Institute for Flight Systems, University of the German Armed Forces, Munich
2023–2024: Postdoctoral researcher and project manager at HuMiCSLab, University of the German Armed Forces, Munich
Since 2024: Research professor of human-machine interaction for unmanned aerial systems at THI
Since 2026: Associate Program Director for the “Intelligent Aerial Systems” (Master's program)

Publications

Irawati, D.-I., Murthy, P. & Schwerd, S. (2026). Enabling spatial anchoring in UAV voice user interfaces using language-guided abstraction and chain-of-thought for large language models. In: International Conference on Cognitive Aircraft Systems (ICCAS) 2026, Toulouse, France (accepted).
Chamounta, I. & Schwerd, S. (2025). Integration Analysis of UAVs into Emergency Response Control Centers. In: Mensch und Computer, 2025, doi: 10.18420/muc2025-mci-ws01-189
Schwerd, S. & Schulte, A. (2024). Triggering Cockpit Alerts Using an Eye-Tracking-Based Measure of Monitoring Performance, Aviation Psychology and Human Factors. https://doi.org/10.1027/2192-0923/a000263
Schwerd, S. & Schulte, A. (2024). Evaluating Blink Rate as a Dynamic Indicator of Mental Workload in a Flight Simulator (2024). Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP, SciTePress, pages 362-368 doi.org 10.5220/0012319100003660
Schwerd, S. & Schulte, A. (2023). Die Abschätzung kognitiver Beanspruchung mittels Blickbewegungsmessung. In: Workshop zur Quantifizierung mentaler Beanspruchung aus Tätigkeit und Umgebungsfaktoren der Arbeit. doi.org/10.21934/baua:fokus20230629
Schwerd, S. and Schulte, A. (2023). Interaction-based Implicit Calibration of Eye-Tracking in an Aircraft Cockpit. In: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - HUCAPP; ISBN 978-989-758-634-7, ISSN 2184-4321, SciTePress, pages 55-62. doi.org/10.5220/0011657200003417
Schwerd, S. & Schulte, A. (2022). Experimental Assessment of Fixation-Based Attention Measurement in an Aircraft Cockpit. In: D. Harris & W.-C. Li (Hrsg.), Lecture Notes in Computer Science. Engineering Psychology and Cognitive Ergonomics (Bd. 13307, S. 408–419). Springer International Publishing. doi.org/10.1007/978-3-031-06086-1_32
Schwerd, S. & Schulte, A. (2021b). Operator State Estimation to Enable Adaptive Assistance in Manned-Unmanned-Teaming. Cognitive Systems Research, 67, 73–83. doi.org/10.1016/j.cogsys.2021.01.002
Schwerd, S. & Schulte, A. (2021). Measuring the Deviation between Ground Truth and Operator Awareness in a UAV Management Scenario: An Eye-Tracking Approach. In: AIAA Scitech 2021 Forum. American Institute of Aeronautics and Astronautics. doi.org/10.2514/6.2021-1579
Schwerd, S. & Schulte, A. (2020). Experimental Validation of an Eye-Tracking-Based Computational Method for Continuous Situation Awareness Assessment in an Aircraft Cockpit. In: D. Harris & W.-C. Li (Hrsg.), Lecture Notes in Computer Science. Engineering Psychology and Cognitive Ergonomics. Cognition and Design (Bd. 12187, S. 412–425). Springer International Publishing. doi.org/10.1007/978-3-030-49183-3_32