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 (Universität Bielefeld) and Jelmer Borst (Rijksuniversiteit Groningen, Niederlande) also with partners from Daimler, DLR, VW, Airbus, Strato und Roche.

Recent Publications

Friedrich, M. and Russwinkel, N. and Möhlenbrink, C. (2016). A guideline for integrating dynamic areas of interests in existing set-up for capturing eye movement: Looking at moving aircraft. Behavior Research Methods, June,, p. 1-13doi: 10.3758/s13428-016-0745-x.


Lotz, A. and Russwinkel, N. (2016). Modeling different strategies in mental rotation. In Proceedings of the 13th Biannual Conference of the German Cognitive Science Society (KogWis 2016).


Russwinkel, N. and Prezenski, S. and Halbrügge, M. and Lindner, S. (2016). Introduction to Cognitive Modelling with ACT-R. In Proceedings of the 13th Biannual Conference of the German Cognitive Science Society (KogWis 2016). (Tutorial im Rahmen der KogWis 2016)


Prezenski, S. and Russwinkel, N. (2016). A proposed method of matching ACT-R and EEG-Data. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 249-251.


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