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Publications at the Chair


Joeres, F. and Russwinkel, N. (2014). Introduction of an ACT-R based modeling approach to mental rotation. Cognitive Processing, 15(Suppl. 1), p. S112-S114.

Russwinkel, N., Prezenski, S., Joeres, F., Lindner, S. and Halbrügge, M. (2014). Introduction to cognitive modelling with ACT-R. Cognitive Processing, 15(Suppl. 1), p. S25. (Tutorial im Rahmen der KogWis 2014)

Russwinkel, N., Prezenski, S., Lindner, S., Halbrügge, M., Schulz, M. and Wirzberger, M. (2014). Modeling of cognitive aspects of mobile interaction. Cognitive Processing, 15(Suppl. 1), p. S22-S24. doi: 10.1007/s10339-014-0632-2 (Symposium im Rahmen der KogWis 2014)

Dzaack, J., Trösterer, S., Pape, N. and Urbas, L. (2007). A computational model of retrospective time estimation. Cognitive Systems Research, 8(3), p. 208-215.

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


Prezenski, S., Brechmann, A., Wolff, S. and Russwinkel, N. (2017). A Cognitive Modeling Approach to Strategy Formation in Dynamic Decision Making. Front. Psychol., 8(1335), p. 1-18. doi: 10.3389/fpsyg.2017.01335

Klaproth, O. W., Vernaleken, C., Laurens, K. R., Halbruegge, M., Zander, T. O. and Russwinkel, N. (2020). Tracing Pilots’ Situation Assessment by Neuroadaptive Cognitive Modeling. Frontiers in Neuroscience, 14(795), p. 1-12.

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


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

Prezenski, S. and Russwinkel, N. (2014). Combining cognitive ACT-R models with usability testing reveals users mental model while shopping with a smartphone application. International Journal On Advances in Intelligent Systems, 7(3-4), p. 700-715.


Revina, Y., Petro, L., Florea, C., Blum, S., Kriegeskorte, N. and Muckli, L. (2016). Meaningful feedback to occluded V1 is improved by increasing local information in the surround. Journal of Vision, 16, p. 572. doi: 10.1167/16.12.572


Zhang, Z., Russwinkel, N. and Prezenski, S. (2018). Deciphering Dynamic Decision Making Using Cognitive Modeling Including Subjective Asessment. In Rothkopf, C. et al. (Eds.), 14th Biannual Conference of the German Society for Cognitive Science, p. 79.


Joeres, F., Schindele, D., Luz, M., Blaschke, S., Russwinkel, N., Schostak, M. and Hansen, C. (2019). How well do software assistants for minimally invasive partial nephrectomy meet surgeon information needs? A cognitive task analysis and literature review study. PLoS ONE, 14(7), p. 1-24.

Preuss, K. and Russwinkel, N. (2019, July). Proposing a Cognitive System for Universal Mental Spatial Transformations. Poster presented at the 41st Annual Conference of the Cognitive Science Society. Montreal, Quebec, Canada.

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