Weidemann, A. and Rußwinkel, N. (2019). Investigation of Frustration. In Alt, Florian and Bulling, Andreas and Döring, Tanja (Eds.), Proceedings of the Mensch und Computer 2019, p. 819-824.

van Rijn, H., Russwinkel, N. and Peebles, D. (2013). Editoral to the special issue "The Best of ICCM 2013". Cognitive Systems Research, 24(1), p. 1. doi: 10.1016/j.cogsys.2013.01.004

Urbas, L., Heinath, M., Trösterer, S., Pape, N., Dzaack, J., Kiefer, J. and Leuchter, S. (2009). Agimap: a tool-chain to support the modeling of the interaction level of dynamic systems. In Proceedings of the 7th International Conference on Cognitive Modeling.

Urbas, L., Leuchter, S., Pape, N. and Trösterer, S. (2009). Prospektive Gestaltung der Ablenkungswirkung von In Vehicle Information Systems. In Jürgensohn, T. and Kohlrep-Rometsch, H. (Eds.), Tagungsband der 2. Berliner Fachtagung Fahrermodellierung, 19./20. Juli 2008, p. 74-83.

Thomaz, A. L., Lieven, E., Cakmak, M., Chai, J., Garrod, S., Gray, W., Leviston, S. C., Paiva, A. and Russwinkel, N. (2018). Interaction for Task Instruction and Learning. Gluck, K. A. and Laird, J. E. (Eds.), Interactive Task Learning: Agents, Robots, and Humans Acquiring New Tasks through Natural Interactions. MIT Press Cambridge, Massachusets.

Smieszek, H., Joeres, F. and Russwinkel, N. (2015). Workload of Airport Tower Controllers: Empirical Validation of a Macro-cognitive Model. In Soeffker, D.; Kluge, A. (Eds.), Online Journal Kognitive Systeme, Heft 1(Vol. 2), 2015.

Smieszek, H. and Joeres, F. (2013). Prospective decision making in a macro-cognitive model of airport traffic control system (MATriCS) based on coloured petri nets. In Brandenburg, E. and Doria, L. and Gross, A. and Günzler, T. and Smieszek, H. (Eds.), Tagungsband der 10. Berliner Werkstatt Mensch-Maschine- Systeme: Grundlagen und Anwendungen der Mensch-Maschine-Interaktion, p. 500-507.

Smieszek, H., Manske, P., Hasselberg, A., Russwinkel, N. and Möhlenbrink, C. (2013). Cognitive Simulation of limited Working Memory Capacity applied to an Air Traffic Control Task. In West, R. and Stewart, T. (Eds.), Proceedings of the 12th International Conference on Cognitive Modeling (ICCM 2013), p. 227-232.

Smieszek, H. and Russwinkel, N. (2013). Micro-cognition and macrocognition: trying to bridge the gap. In Brandenburg, E. and Doria, L. and Gross, A. and Günzler, T. and Smieszek, H. (Eds.), Tagungsband der 10. Berliner Werkstatt Mensch-Maschine-Systeme: Grundlagen und Anwendungen der Mensch-Maschine-Interaktion, p. 334-340.

Seiling, L., Plitt, M., Schweidler, P., Klückmann, O., Befort, L., Konczir, R., Reuter, S., Preuss, K., Wiese, S. and Russwinkel, N. (2021, July). Lessons Learned From Modelling Situated Cognitive Agents Interacting With a Dynamic Environment. Poster presented at the 19th International Conference on Cognitive Modelling.

Schuhmacher, J. (2017). Machine Learning for User Learning. In Hess, Steffen and Fischer, Holger (Eds.), Mensch und Computer 2017 - Usability Professionals, p. 275-280.

Scharfe, M. and Russwinkel, N. (2019). Towards a Cognitive Model of the Takeover in Highly Automated Driving for the Improvement of Human Machine Interaction. In Proceedings of the 17th International Conference on Cognitive Modelling.

Scharfe, M. and Russwinkel, N. (2019). A Cognitive Model for Understanding the Takeover in Highly Automated Driving Depending on the Objective Complexity of Non-Driving Related Tasks and the Traffic Environment. In Proceedings of the 41th Annual Cognitive Science Society Meeting.

Scharfe, M., Zeeb, K. and Russwinkel, N. (2020). The Impact of Situational Complexity and Familiarity on Takeover Quality in Uncritical Highly Automated Driving Scenarios. Information, 11, p. 115.

Scharfe, M. (2020). How are Eye Tracking Patterns in Takeover Situations related to Complexity, Takeover Quality and Cognitiive Model Predictions?. In Zachaeus, Carolin (Eds.), Proceedings of the AMAA2020 Intelligent System Solutions for Auto Mobility and Beyond.