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Kognitive Modellierung in dynamischen Mensch-Maschine-SystemenPublikationen


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

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.

Russwinkel, N. (2010). Die Modellierung von Working Memory Updating in MMS. In Tagungsband der 10. Fachtagung der Gesellschaft für Kognitionswissenschaft. (Symposium Kognitive Modellierung in Mensch-Maschine-Systemen, Chairs: Nele Rußwinkel, Jeronimo Dzaack)

Russwinkel, N., Urbas, L. and Thüring, M. (2011). Predicting temporal errors in complex task environments: A computational and experimental approach. Special Issue on Complex Cognition in Cognitive Systems Research, 12(3-4), p. 336-354. doi: DOI:10.1016/j.cogsys.2010.09.003

Russwinkel, N. and Friedrich, M. (2012). Zeitabhängige Entscheidungsfindung im Fluglotsenkontext in Mensch-Maschine-Systemen (Symposium Mensch-Technik Interaktion). In 11. Fachtagung der Gesellschaft für Kognitionswissenschaft.

Russwinkel, N. (2013). Modellierung von Zeitkognition bei der Fahrzeugführung. In Jürgensohn, T. and Kohlrep, H. (Eds.), Fahrermodellierung in Wissenschaft und Wirtschaft.- 4. Berliner Fachtagung Fahrermodellierung, Berlin, 13./14. Juni 2013, p. 80-90.

Russwinkel, N. and Prezenski, S. (2014). ACT-R Meets Usability. In Proceedings of the Sixth International Conference on Advanced Cognitive Technologies and Applications COGNITIVE, 2014. (Best Paper Award)

Russwinkel, N. (2020). Antizipierende interaktiv lernende autonome Agenten. Buxbaum, HJ. (Eds.), Mensch-Roboter-Kollaboration. Springer Fachmedien Wiesbaden

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)

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


Prezenski, S. and Russwinkel, N. (2016). Towards a general model of repeated app usage. 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. 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?. 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. In Proceedings of the International Snow Science Workshop, p. 835-836.



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