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Cognitive Modeling in dynamic Human-Machine SystemsPublications

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Publications at the Chair

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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.


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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Wirzberger, M. and Russwinkel, N. (2015). Modeling interruption and resumption in a smartphone task: An ACT-R approach. i-com, 14(2), p. 147-154doi: 10.1515/icom-2015-0033.



Wirzberger, M. (2012). Experimentelle Induktion beeinträchtigter Aufmerksamkeit im Kontext des seductive detail Effekts (Bachelorarbeit). FernUniversität in Hagen, Hagen..


Wirzberger, M. and Russwinkel, N. (2014). "I don't need it" - Modeling ad-induced interruption while using a smartphone-app. Vortrag auf der Crosswolds 2014: Theory, Development and Evaluation of Social Technology, Technische Universität Chemnitz.


Wirzberger, M. (2014). Smart@load? Modeling interruption while using a Smartphone-app under alternating workload conditions (Masterarbeit). Technische Universität Berlin, Berlin..


Wiese, S., Lotz, A. and Russwinkel, N. (2019). SEEV-VM: ACT-R Visual Module based on SEEV theory. In Proceedings of the 17th International Conference on Cognitive Modeling.


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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


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Urbas, L., Heinath, M., Trösterer, S., Pape, N., Dzaack, J., Kiefer, J. and Leuchter, S. (2009). Agimap: a tool-chain to support the modeling of the interaction level of dynamic systems. In Proceedings of the 7th International Conference on Cognitive Modeling.


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