Prof. Dr.-Ing. Nele Russwinkel

Preuss, K. and Russwinkel, N. (2019, July). Proposing a Cognitive System for Universal Mental Spatial Transformations [20]. Poster presented at the 41st Annual Conference of the Cognitive Science Society. Montreal, Quebec, Canada.

Preuss, K., Raddatz, L. and Russwinkel, N. (2019). An implementation of Universal Spatial Transformative Cognition in ACT-R [22]. In Proceedings of the 17th International Conference on Cognitive Modelling. Link zur Publikation [23] Link zur Originalpublikation [24]

Scharfe, M. and Russwinkel, N. (2019). Towards a Cognitive Model of the Takeover in Highly Automated Driving for the Improvement of Human Machine Interaction [25]. In Proceedings of the 17th International Conference on Cognitive Modelling.

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 [26]. In Proceedings of the 41th Annual Cognitive Science Society Meeting.

Wiese, S., Lotz, A. and Russwinkel, N. (2019). SEEV-VM: ACT-R Visual Module based on SEEV theory [27]. In Proceedings of the 17th International Conference on Cognitive Modeling. Link zur Publikation [28]

Lotz, A., Russwinkel, N. and Wohlfarth, E. (2019). Response Times and Gaze Behavior of Truck Drivers in Time Critical Conditional Automated Driving Take-overs [29]. Transportation Research Part F: Traffic Psychology and Behaviour, 64, p. 532-551.

Scharfe, M. and Russwinkel, N. (2019). A Cognitive Model for the Takeover Task in Complex Environments for Highly Automated Driving [30]. Poster presented at the EuroCogSci2019. TU Bochum.

Prezenski, S., Brechmann, A., Wolff, S. and Russwinkel, N. (2018). To what extent can ACT-R models address complex problem solving? [32]. In 51. Kongress der Deutschen Gesellschaft für Psychologie Supplement to Psychological Test and Assessment Modeling, p. 276. Link zur Originalpublikation

Prezenski, S., Russwinkel, N. and Win, K. (2018). Designing a wearable persuasive avalanche warning system [33]. In Proceedings of the International Snow Science Workshop, p. 835-836. Link zur Originalpublikation [34]

Russwinkel, N., Prezenski, S., Doerr, L. and Tamborello, F. (2018). ACT-Droid meets ACT-Touch: Modelling differences in swiping behavior with real Apps [35]. In I. Juvins and C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling (ICCM 2018), p. 121-125. Link zur Publikation [36] Link zur Originalpublikation

Zhang, Z., Russwinkel, N. and Prezenski, S. (2018). Deciphering Dynamic Decision Making Using Cognitive Modeling Including Subjective Asessment [37]. In Rothkopf, C. et al. (Eds.), 14th Biannual Conference of the German Society for Cognitive Science, p. 79. Link zur Publikation [38] Link zur Originalpublikation

Lindner, S., Arlt, L. and Russwinkel, N. (2018). Comparing Models of Visual Search in Heterogeneous Search Fields [39]. In I. Juvina, J. Houpt, & C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling, p. 63-68. Link zur Originalpublikation [40]

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 [41]. ScienceDirect:Procedia Computer Science, 145, p. 668-674. Link zur Publikation [42]

Scharfe, M. and Russwinkel, N. (2018). Towards a Cognitive Model for the Adaption of Cooperative Takeover Systems [43]. Poster presented at the HUFACO - Human Factors Aspects of Cooperative Systems Design.

Prezenski, S., Brechmann, A., Wolff, S. and Russwinkel, N. (2017). A Cognitive Modeling Approach to Strategy Formation in Dynamic Decision Making [45]. Front. Psychol., 8(1335), p. 1-18. doi: 10.3389/fpsyg.2017.01335 Link zur Originalpublikation [46]

Prezenski, S., Bruechner, D. and Russwinkel, N. (2017). Predictive Cognitive Modelling of Applications [47]. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics, p. 165-171. Link zur Publikation [48] Link zur Originalpublikation [49]

Lindner, S., Russwinkel, N., Arlt, L., Neufeld, M. and Schattenhofer, L. (2017). Modeling of Visual Search and Influence of Item Similarity [50]. In M. van Vugt, A. Banks & W. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling, p. 164-168. Link zur Publikation [51] Link zur Originalpublikation [52]

Klaproth, O. and Russwinkel, N. (2017). Conceptual Approach to Model the Effects of Feedback on Mental Model Activation [53]. In M. van Vugt, A. Banks & W. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling, p. 225. Link zur Publikation [54] Link zur Originalpublikation [55]

Dörr, L.-M., Russwinkel, N. and Prezenski, S. (2016). ACT-Droid: ACT-R interacting with Android applications [56]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 225-227. Link zur Publikation [57] Link zur Originalpublikation [58]

Lindner, S. and Russwinkel, N. (2016). Modeling of proximity-based expectations [59]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 246-248. Link zur Publikation [60] Link zur Originalpublikation [61]

Halbrügge, M. and Russwinkel, N. (2016). The sum of two models: how a composite model explains unexpected user behavior in a dual-task scenario [62]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 137-143. Link zur Publikation [63] Link zur Originalpublikation [64]

Prezenski, S. and Russwinkel, N. (2016). Towards a general model of repeated app usage [65]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 201-207. Link zur Publikation [66] Link zur Originalpublikation [67]

Prezenski, S. and Russwinkel, N. (2016). A proposed method of matching ACT-R and EEG-Data [68]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 249-251. Link zur Publikation [69] Link zur Originalpublikation [70]

Russwinkel, N., Prezenski, S., Halbrügge, M. and Lindner, S. (2016). Introduction to Cognitive Modelling with ACT-R [71]. In Proceedings of the 13th Biannual Conference of the German Cognitive Science Society (KogWis 2016). (Tutorial im Rahmen der KogWis 2016) Link zur Publikation [72]

Lotz, A. and Russwinkel, N. (2016). Modeling different strategies in mental rotation [73]. In Proceedings of the 13th Biannual Conference of the German Cognitive Science Society (KogWis 2016).

Friedrich, M., Russwinkel, N. and Möhlenbrink, C. (2016). A guideline for integrating dynamic areas of interests in existing set-up for capturing eye movement: Looking at moving aircraft [74]. Behavior Research Methods, June,, p. 1-13doi: 10.3758/s13428-016-0745-x.

Konsanke, H. and Russwinkel, N. (2016). Doing all at once? Modeling driver workload in an abstract multitasking scenario [75]. In Abstractband der 58. Tagung experimentell arbeitender Psychologen (TeaP). (Symposium: Extending Basic and Applied Experimental Cognitive Research with ACT-R.)

Smieszek, H., Joeres, F. and Russwinkel, N. (2015). Workload of Airport Tower Controllers: Empirical Validation of a Macro-cognitive Model [76]. In Soeffker, D.; Kluge, A. (Eds.), Online Journal Kognitive Systeme, Heft 1(Vol. 2), 2015. Link zur Publikation [77]

Wirzberger, M. and Russwinkel, N. (2015). Modeling interruption and resumption in a smartphone task: An ACT-R approach [78]. i-com, 14(2), p. 147-154doi: 10.1515/icom-2015-0033.

Lindner, S. and Russwinkel, N. (2015). The Effect of Design Decisions on User Expectations - A modelling approach [79]. Berliner Werkstatt Mensch-Maschine-Systeme, 2015.

Joeres, F. and Russwinkel, N. (2014). Introduction of an ACT-R based modeling approach to mental rotation [81]. Cognitive Processing, 15(Suppl. 1), p. S112-S114.

Lindner, S., Büttner, P., Taenzer, G., Vaupel, S. and Russwinkel, N. (2014). Towards an efficient evaluation of the usability of Android apps by cognitive models [82]. In Jipp, M. and Soeffker, D. and Kluge, A. and Wendemuth, A. (Eds.), Kognitive Systeme III. Link zur Publikation [83]

Prezenski, S. and Russwinkel, N. (2014). Combining cognitive ACT-R models with usability testing reveals users mental model while shopping with a smartphone application [84]. International Journal On Advances in Intelligent Systems, 7(3-4), p. 700-715. Link zur Publikation [85] Link zur Originalpublikation [86]

Prezenski, S. and Russwinkel, N. (2014). Cognitive modeling offers explanations for effects found in usability studies [87]. Poster präsentiert auf der 32. European Conference on Cognitive Ergonomics ECCE 2014. Link zur Publikation [88]

Russwinkel, N. and Prezenski, S. (2014). ACT-R Meets Usability [89]. In Proceedings of the Sixth International Conference on Advanced Cognitive Technologies and Applications COGNITIVE, 2014. (Best Paper Award) Link zur Publikation [90] Link zur Originalpublikation [91]

Russwinkel, N., Prezenski, S., Joeres, F., Lindner, S. and Halbrügge, M. (2014). Introduction to cognitive modelling with ACT-R [92]. Cognitive Processing, 15(Suppl. 1), p. S25. (Tutorial im Rahmen der KogWis 2014) Link zur Publikation [93]

Russwinkel, N., Prezenski, S., Lindner, S., Halbrügge, M., Schulz, M. and Wirzberger, M. (2014). Modeling of cognitive aspects of mobile interaction [94]. Cognitive Processing, 15(Suppl. 1), p. S22-S24. doi: 10.1007/s10339-014-0632-2 (Symposium im Rahmen der KogWis 2014) Link zur Publikation [95]