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Inhalt des Dokuments

Publikationen am Fachgebiet

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Lotz, A., Russwinkel, N. and Wohlfarth, E. (2019). Response Times and Gaze Behavior of Truck Drivers in Time Critical Conditional Automated Driving Take-overs. Transportation Research Part F: Traffic Psychology and Behaviour, 64, p. 532-551.


Prezenski, S., Bruechner, D. and Russwinkel, N. (2017). Predictive Cognitive Modelling of Applications. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics, p. 165-171.


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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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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.


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.


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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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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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


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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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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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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.


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.


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