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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 [2] 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 [3] (University of Huddersfield, England), Stefan Kopp [4] (Universität Bielefeld) and Jelmer Borst [5] (Rijksuniversiteit Groningen, Niederlande) also with partners from Daimler [6], DLR [7], VW [8], Airbus [9], Strato [10] und Roche [11].

Recent Publications

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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 [40]. 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 [41]. Cognition, Technology and Work, (2020).

Lommerzheim, M. and Prezenski, S. and Russwinkel, N. and Brechmann, A. (2020). Category Learning as a Use Case for Anticipating Individual Human Decision Making by Intelligent Systems [42]. In Ahram, T. and Karwowski, W. and Vergnano, A. and Leali, F. and Taiar, R. (Eds.), Proceedings of the Intelligent Human Systems Integration 2020. Advances in Intelligent Systems and Computing, p. 159-164.

Russwinkel, N. and Vernaleken, C. and Klaproth, O. (2020). Towards Cognitive Assistance and Teaming in Aviation by Inferring Pilot's Mental State [43]. In Ahram, T. and Karwowski, W. and Vergnano, A. and Leali, F. and Taiar, R. (Eds.), Proceedings of the Intelligent Human Systems Integration 2020. Advances in Intelligent Systems and Computing, p. 1021-1027.

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Kognitive Modellierung in dynamischen Mensch-Maschine-Systemen
sec. MAR 3-2
Marchstr. 23
10587 Berlin
+49 (0)30 314 72408
e-mail query [72]

Antizipierende interaktiv lernende autonome Agenten

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Out now: chapter about Antizipierende interaktiv lernende autonome Agenten [74] by Nele Rußwinkel in the book Mensch-Roboter-Kollaboration. [75]

Important Information regarding the winter semester 20/21

Due to the ongoing Covid-19 pandemic, the course "Applied Cognitive Modeling [76]" (also known as "Modellierung und Simulation von Mensch-Maschine-Systemen") will be held as a hybrid online course with parts of synchronous and asynchronous teaching formats and, if possible, 2-3 face-to-face sessions. Further information will follow under the corresponding course page. The semester starts on November 2, 2020.

What can AI teach us about our intelligence?

A cognitive science view on AI [77] by Albert Newen, Constantin Rothkopf, Nele Russwinkel und Martin V. Butz

Our Book about Interactive Task learning is out now!

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Thomaz, A. L., Lieven, E., Cakmak, M.,Chai, J. Y., Garrod, S., Gray, W.D., Leviston, S. C., Paiva, A., & Russwinkel,N.. 2018. Interaction for Task Instruction and Learning. In: Interactive Task Learning: Agents, Robots, and Humans Acquiring New Tasks through Natural Interactions [79], edited by K. A. Gluck and J. E. Laird.  Strüngmann Forum Reports, vol. 26, J. R. Lupp, series editor. Cambridge, MA: MIT Press

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