TU Berlin

Cognitive Modeling in dynamic Human-Machine SystemsCognitive Modeling in dynamic Human-Machine Systems

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Lupe

Welcome on the website of the Chair of Cognitive Modeling in dynamic Human-Machine Systems!

Our main goal consists in linking Cognitive Psychology and applied Engineering Sciences, resulting in a vibrant and pulsating field of research. Cognitive modelling provides the opportunity to investigate assumptions on cognitive processes even in complex tasks and work situations.

In this purpose, it can use already implemented cognitive architectures like ACT-R for simulating fundamental cognitive processes used for task-specific models. Moreover, simulations of technical systems may be linked to cognitive architectures, to faciliate interaction between model and simulation. In this way, predictions on prospective system handling can be derived.

We develop modeling approaches of cognitive mechanisms to improve technical systems in applied domains. For this goal we work together with cooperation partners form university and industry. Among others together with David Peebles (University of Huddersfield, England), Stefan Kopp (Universit├Ąt Bielefeld) and Jelmer Borst (Rijksuniversiteit Groningen, Niederlande) also with partners from Daimler, DLR, VW, Airbus, Strato und Roche.

Recent Publications

Prezenski, S. (2017). Implementing Mental Model Updating in ACT-R. In M. van Vugt, A. Banks & W. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling, p. 121-127.


Prezenski, S. and Brechmann, A. and Wolff, S. and Russwinkel, N. (2017). A Cognitive Modeling Approach to Strategy Formation in Dynamic Decision Making. Front. Psychol., 8(1335), p. 1-18. doi: 10.3389/fpsyg.2017.01335


Prezenski, S. and Bruechner, D. and Russwinkel, N. (2017). Predictive Cognitive Modelling of Applications. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics, p. 165-171.


Konsanke, H. and Russwinkel, N. (2016). Doing all at once? Modeling driver workload in an abstract multitasking scenario. In Abstractband der 58. Tagung experimentell arbeitender Psychologen (TeaP). (Symposium: Extending Basic and Applied Experimental Cognitive Research with ACT-R.)


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