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Cognitive Modeling in dynamic Human-Machine SystemsPublications

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Publications at the Chair

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Kraft, A., Pape, N., Hagendorf, H., Schmidt, S., 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.


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Prezenski, S. (2014). Evaluating the usability of a smartphone application with ACT -R. Cogn. Process, 15(Suppl. 1), p. pp. 23-24.


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


Russwinkel, N., Urbas, L. and Thüring, M. (2011). Predicting temporal errors in complex task environments: A computational and experimental approach. Cognitive Systems Research, 12(3-4), p. 336-354.


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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


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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.


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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.


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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.


Russwinkel, N., Prezenski, S., Doerr, L. and Tamborello, F. (2018). ACT-Droid meets ACT-Touch: Modelling differences in swiping behavior with real Apps. In I. Juvins and C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling (ICCM 2018), p. 121-125.


Prezenski, S., Russwinkel, N. and Win, K. (2018). Designing a wearable persuasive avalanche warning system. In Proceedings of the International Snow Science Workshop, p. 835-836.


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Zhang, Z., Russwinkel, N. and Prezenski, S. (2018). Modeling Individual Strategies in Dynamic Decision-making with ACT-R: A Task Toward Decision-making Assistance in HCI. ScienceDirect:Procedia Computer Science, 145, p. 668-674.


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