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


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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

Drewitz, U. and Thüring, M. and Pape, N. and Minge, M. (2008). Modeling causal inferences and uncertainty in ACT-R. In XXIX International Congress of Psychology.

Drewitz, U. and Pape, N. and Thüring, M. and Minge, M. (2008). Modellierung kausaler Urteilsbildung unter Unsicherheit. In Tagungsband der 9. Fachtagung der Gesellschaft für Kognitionswissenschaft, p. 58.


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