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Pape, N. and Urbas, L. (2008). Quantitatives Modell der Zeitschätzung mit Bezug auf Arbeitsgedächtnis Anforderungen [13]. In Tagungsband der 9. Fachtagung der Gesellschaft für Kognitionswissenschaft.


Pape, N. and Urbas, L. (2008). The influence of task demands in a model of time estimation [14]. In Proceedings of the Fifteenth Annual ACT-R Workshop.


Pape, N. and Urbas, L. (2008). A model of time-estimation considering working memory demands [15]. In Proceedings of the 30th Annual Cognitive Science Society (p. , p. 1543-1548), Austin, TX: Cognitive Science Society..


Pape, N. and Urbas, L. (2009). Testing a quantitative model of time estimation in a load switch scenario [16]. In Howes, A. and Peebles, D. and Cooper, R. (Eds.), 9th International Conference on Cognitive Modeling - ICCM 2009 (paper 214, 6 pages).


Pape, N. and Urbas, L. (2009). Validating a model of time perception with variations of a counting task [17]. In Taatgen, N. A. and van Rijn, H. (Eds.), Proceedings of the 31th Annual Conference of the Cognitive Science Society, p. 2002.


Pape, N. and Urbas, L. (2009). A computational model of time estimation involving influences of task demands [18]. In Der Mensch im Mittelpunkt technischer Systeme - 8. Berliner Werkstatt Mensch-Maschine-Systeme.


Pape, N. and Thüring, M. (2010). Vorhersage von Performanz und Dauerschätzung in einer Working Memory Updating Aufgabe [19]. In Tagungsband des 47. Kongress der Deutschen Gesellschaft für Psychologie.


Preuss, K., Raddatz, L. and Russwinkel, N. (2019). An implementation of Universal Spatial Transformative Cognition in ACT-R [20]. In Proceedings of the 17th International Conference on Cognitive Modelling.


Preuss, K. and Russwinkel, N. (2019, July). Proposing a Cognitive System for Universal Mental Spatial Transformations [21]. Poster presented at the 41st Annual Conference of the Cognitive Science Society. Montreal, Quebec, Canada.


Prezenski, S. and Russwinkel, N. (2016). Towards a general model of repeated app usage [22]. 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 [23]. 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? [24]. 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 [25]. 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 [26] (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 [27]. International Journal On Advances in Intelligent Systems, 7(3-4), p. 700-715.


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