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Preuss, K., Hilton, C., Gramann, K. and Russwinkel, N. (2020). Cognitive Processing Stages During Mental Folding Are Reflected in Eye Movements [13]. In Symposium on Eye Tracking Research and Applications (ETRA’20 Adjunct).


Prezenski, S. and Russwinkel, N. (2016). Towards a general model of repeated app usage [14]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 201-207.


Prezenski, S. and Russwinkel, N. (2016). A proposed method of matching ACT-R and EEG-Data [15]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 249-251.


Prezenski, S., Brechmann, A., Wolff, S. and Russwinkel, N. (2018). To what extent can ACT-R models address complex problem solving? [16]. In 51. Kongress der Deutschen Gesellschaft für Psychologie Supplement to Psychological Test and Assessment Modeling, p. 276.


Prezenski, S., Russwinkel, N. and Win, K. (2018). Designing a wearable persuasive avalanche warning system [17]. In Proceedings of the International Snow Science Workshop, p. 835-836.


Prezenski, S. (2013). Continuous exclusion during a game of Cyberball- A single trial study [18] (Diplomarbeit). Freie Universität Berlin, Berlin..


Prezenski, S. and Russwinkel, N. (2014). Combining cognitive ACT-R models with usability testing reveals users mental model while shopping with a smartphone application [19]. International Journal On Advances in Intelligent Systems, 7(3-4), p. 700-715.


Prezenski, S. and Russwinkel, N. (2014). Cognitive modeling offers explanations for effects found in usability studies [20]. Poster präsentiert auf der 32. European Conference on Cognitive Ergonomics ECCE 2014.


Prezenski, S. (2014). Evaluating the usability of a smartphone application with ACT -R [21]. Cogn. Process, 15(Suppl. 1), p. pp. 23-24.


Prezenski, S., Brechmann, A., Wolff, S. and Russwinkel, N. (2017). A Cognitive Modeling Approach to Strategy Formation in Dynamic Decision Making [22]. Front. Psychol., 8(1335), p. 1-18. doi: 10.3389/fpsyg.2017.01335


Prezenski, S., Bruechner, D. and Russwinkel, N. (2017). Predictive Cognitive Modelling of Applications [23]. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics, p. 165-171.


Prezenski, S. (2019). Interactive Learning of Dynamic Systems: A Cognitive Modeling Approach to Mental Model Building and Updating (Dissertation) [24]. doi: http://dx.doi.org/10.14279/depositonce-7951.


Prezenski, S. (2017). Implementing Mental Model Updating in ACT-R [25]. In M. van Vugt, A. Banks & W. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling, p. 121-127.


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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 [26]. Journal of Vision, 16, p. 572. doi: 10.1167/16.12.572


Russwinkel, N., Prezenski, S., Halbrügge, M. and Lindner, S. (2016). Introduction to Cognitive Modelling with ACT-R [27]. In Proceedings of the 13th Biannual Conference of the German Cognitive Science Society (KogWis 2016). (Tutorial im Rahmen der KogWis 2016)


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