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Welcome

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

Lindner, S. and Büttner, P. and Taenzer, G. and Vaupel, S. and Russwinkel, N. (2014). Towards an efficient evaluation of the usability of Android apps by cognitive models. In Jipp, M. and Soeffker, D. and Kluge, A. and Wendemuth, A. (Eds.), Kognitive Systeme III.


Lindner, S. and Russwinkel, N. (2013). Modeling of expectations and surprise in ACT-R. In West, R. and Stewart, T. (Eds.), Proceedings of the 12th International Conference on Cognitive Modeling (ICCM 2013), p. 161-166.


Lindner, S. (2012). A cognitive modeling approach to surprise (Masterarbeit). Technische Universität Berlin, Berlin..


Kraft, A. and Pape, N. and Hagendorf, H. and Schmidt, S. and Naito, A. and Brandt, S. A. (2007). What determines sustained visual attention? The impact of distracter positions, task difficulty and visual fields compared. Brain Research, 1133(1), p. 123-135.


Zusatzinformationen / Extras

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Adresse

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

Antizipierende interaktiv lernende autonome Agenten

Lupe

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

Important Information regarding the winter semester 20/21

Due to the ongoing Covid-19 pandemic, the course "Applied Cognitive Modeling" (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 by Albert Newen, Constantin Rothkopf, Nele Russwinkel und Martin V. Butz

Our Book about Interactive Task learning is out now!

Lupe

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, edited by K. A. Gluck and J. E. Laird.  Strüngmann Forum Reports, vol. 26, J. R. Lupp, series editor. Cambridge, MA: MIT Press