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Florian Fischer

College positions:
Affiliated Postdoctoral Researcher
Department of Engineering
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Dr Florian Fischer

Dr Florian Fischer is a postdoctoral researcher in the Intelligent Interactive Systems group in the Department of Engineering, working on the understanding and development of efficient, ergonomic and accessible interaction between humans and digital devices.

He is particularly interested in how computational methods from control theory and machine learning can contribute to a better understanding of multisensory human-computer interaction, and in creating visuomotor models that can predict how users perceive and control a given interface.

His research addresses issues such as how to design systems that promote ergonomic and comfortable postures during everyday interaction. He also works on inclusive and equitable interaction design, with a focus on the accessibility of social virtual and mixed reality.

Dr Florian Fischer completed his undergraduate and doctoral studies at the University of Bayreuth. His doctoral research focused on the potential of optimal feedback control methods to explain pointing movements and complex interaction phenomena by considering interaction as a closed-loop, constrained optimisation problem. He has published on conceptual interaction frameworks, biomechanical forward simulation, and computational tools for designers and developers.

In his spare time, he enjoys running, hiking, and playing in orchestras.

Select publications

  • Fischer, F., Bachinski, M., Klar, M., Fleig, A., & Müller, J. (2021). Reinforcement learning control of a biomechanical model of the upper extremity. Scientific Reports, 11(1), 14445.
  • Fischer, F., Fleig, A., Klar, M., & Müller, J. (2022). Optimal feedback control for modeling human–computer interaction. ACM Transactions on Computer-Human Interaction, 29(6), 1-70.
  • Ikkala, A., Fischer, F., Klar, M., Bachinski, M., Fleig, A., Howes, A., Hämäläinen, P., Müller, J., Murray-Smith, R., & Oulasvirta, A. (2022). Breathing life into biomechanical user models. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (pp. 1-14).

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