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Dörr, L.-M., Russwinkel, N. and Prezenski, S. (2016). ACT-Droid: ACT-R interacting with Android applications [13]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 225-227.


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


Lindner, S. and Russwinkel, N. (2016). Modeling of proximity-based expectations [15]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 246-248.


Halbrügge, M. and Russwinkel, N. (2016). The sum of two models: how a composite model explains unexpected user behavior in a dual-task scenario [16]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 137-143.


Prezenski, S. and Russwinkel, N. (2016). Towards a general model of repeated app usage [17]. 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 [18]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 249-251.


Drewitz, U., Pape, N., Thüring, M. and Minge, M. (2008). Modellierung kausaler Urteilsbildung unter Unsicherheit [19]. In Tagungsband der 9. Fachtagung der Gesellschaft für Kognitionswissenschaft, p. 58.


Drewitz, U., Thüring, M., Pape, N. and Minge, M. (2008). Modeling causal inferences and uncertainty in ACT-R [20]. In XXIX International Congress of Psychology.


Dzaack, J., Trösterer, S., Pape, N. and Urbas, L. (2007). A computational model of retrospective time estimation [21]. In Proceedings of the 7th International Conference on Cognitive Modelling.


Scharfe, M. and Russwinkel, N. (2019). Towards a Cognitive Model of the Takeover in Highly Automated Driving for the Improvement of Human Machine Interaction [22]. In Proceedings of the 17th International Conference on Cognitive Modelling.


Hamborg, K.-C., Fleischer, C., Jüde, C., Lesemann, E., Pape, N. and Schulte, C. (2003). Kommunikation per Videokonferenz? Effektivität, Effizienz und Akzeptanz in Verhandungsituationen [23]. In Abstractband der 3. Tagung der Fachgruppe Arbeits- und Organisationspsychologie der Deutschen Gesellschaft für Psychologie, p. 178.


Scharfe, M. and Russwinkel, N. (2019). A Cognitive Model for Understanding the Takeover in Highly Automated Driving Depending on the Objective Complexity of Non-Driving Related Tasks and the Traffic Environment [24]. In Proceedings of the 41th Annual Cognitive Science Society Meeting.


Hamborg, K.-C., Fleischer, C., Jüde, C., Lesemann, E., Pape, N. and Schulte, C. (2004). Kommunikation per Videokonferenz vs. face to face: Effektivität, Effizienz und emotionale Reaktionen [25]. Vortrag auf dem 44. Kongress der Deutschen Gesellschaft für Psychologie in Göttingen.


Joeres, F. (2014). Kognitive Modellierung von mentaler Rotation [26] (Masterarbeit). Technische Universität Berlin, Berlin..


Joeres, F. and Russwinkel, N. (2014). Object-related learning effects in mental rotation [27]. In Freksa, C. and Nebel, B. and Hegarty, M. and Barkowsky, T. (Eds.), Spatial Cognition 2014: Poster Presentations, p. 56-59.


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