The junior research group “Optimal Control of Dynamical Systems in Human-Computer Interaction” aims at a new generation of reliable and trustworthy intelligent systems with which humans can interact more naturally through new and more accessible user interfaces. It explores modelling the entire human-AI interaction loop as dynamical systems. These are subsequently simulated and optimized using a combination of Machine Learning and established control techniques such as Model Predictive Control.
More about current and future projects of this group will follow.
The junior research group leader, Dr. Arthur Fleig, joined ScaDS.AI Leipzig in March 2024. He studied Mathematics at the University of Bayreuth and completed his PhD on “Model Predictive Control of the Fokker-Planck equation” under Professor Lars Grüne’s supervision. Before joining ScaDS.AI, he worked as a postdoc in Professor Jörg Müller’s group in Bayreuth, where he applied his mathematical core expertise to the field of Human-Computer Interaction (HCI).
Since 2019, Fleig focuses on modelling, simulation, and optimal control of real-world-relevant dynamical systems. He develops and combines optimal control methods – such as Deep Reinforcement Learning and Model Predictive Control – with Human-Computer Interaction. In various international (UK, Norway, Finland) collaborative teams, he introduced the Optimal Feedback Control perspective to the HCI community. With OptiTrap, the first structural numerical approach to compute trap trajectories for acoustic levitation displays, he is one of a select group of HCI researchers to have published in the ACM Transactions on Graphics SIGGRAPH journal.
Fleig’s research passion lies in viewing interaction with intelligent systems from both a machine-centred and a human-centred perspective. This incorporates both the user-centred design approach as well as a simulation- and optimisation-based approach to modelling interaction with these systems. By considering all three elements of the human-AI interaction loop – the user, the interface, and the intelligent system – as dynamical systems, this group aims at a new generation of reliable and trustworthy intelligent systems with which humans can interact (more) naturally through new and more accessible user interfaces.
So far, no publications exist.