TU Berlin

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

Marlene Scharfe and Nele Russwinkel (2021). Familiarity and Complexity during a Takeover in Highly Automated Driving. International Journal of Intelligent Transportation Systems Research, .

Weidemann, A. and Russwinkel, N. (2021). The Role of Frustration in Human–Robot Interaction – What Is Needed for a Successful Collaboration?. Frontiers in Psychology, 12(640186), p. 1 - 30. doi: https://doi.org/10.3389/fpsyg.2021.640186

Lotz, A. and Russwinkel, N. and Wagner, T. and Wohlfarth, E. (2020). An adaptive assistance system for subjective critical driving simulation: understanding the relationship between subjective and objective complexity. In D. de Waard et al. (Eds.), Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2019 Annual Conference. Nantes, France, p. 97-108.

Lotz, A. and Russwinkel, N. and Wohlfarth, E. (2020). Take-over expectation and criticality in Level 3 automated driving: a test track study on take-over behavior in semi-trucks. Cognition, Technology and Work, (2020).


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