Prof. Dr.-Ing. Nele Russwinkel

Scharfe, M., Zeeb, K. and Russwinkel, N. (2020). The Impact of Situational Complexity and Familiarity on Takeover Quality in Uncritical Highly Automated Driving Scenarios [20]. Information, 11, p. 115. Link zur Publikation [21] Link zur Originalpublikation [22]

Preuss, K. H. C. G. K. and Russwinkel, N. (2020). Cognitive Processing Stages During Mental Folding Are Reflected in Eye Movements [23]. In Symposium on Eye Tracking Research and Applications (ETRA’20 Adjunct). Link zur Originalpublikation [24]

Klaproth, O. W., Vernaleken, C., Laurens, K. R., Halbruegge, M., Zander, T. O. and Russwinkel, N. (2020). Tracing Pilots’ Situation Assessment by Neuroadaptive Cognitive Modeling [25]. Frontiers in Neuroscience, 14(795), p. 1-12. Link zur Publikation [26] Link zur Originalpublikation [27]

Klaproth, O. W., Halbruegge, M., Krol, L. R., Vernaleken, C., Zander, T. O. and Russwinkel, N. (2020). A Neuroadaptive Cognitive Model for Dealing With Uncertainty in Tracing Pilots’ Cognitive State [28]. Topics in Cognitive Science, 12(3), p. 1012-1029. Link zur Publikation [29] Link zur Originalpublikation [30]

Lotz, A., Russwinkel, N. and Wohlfarth, E. (2020). Take-over expectation and criticality in Level 3 automated driving: a test track study on take-over behavior in semi-trucks [31]. Cognition, Technology and Work, (2020). Link zur Originalpublikation [32]

Lotz, A., Russwinkel, N., Wagner, T. and Wohlfarth, E. (2020). An adaptive assistance system for subjective critical driving simulation: understanding the relationship between subjective and objective complexity [33]. In D. de Waard et al. (Eds.), Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2019 Annual Conference. Nantes, France, p. 97-108. Link zur Publikation [34] Link zur Originalpublikation [35]

Russwinkel, N. (2020). Antizipierende interaktiv lernende autonome Agenten [36]. In Buxbaum, HJ. (Eds.), Mensch-Roboter-Kollaboration, p. 193-207. Link zur Publikation [37] Link zur Originalpublikation [38]

Russwinkel, N., Vernaleken, C. and Klaproth, O. (2020). Towards Cognitive Assistance and Teaming in Aviation by Inferring Pilot's Mental State [39]. In Ahram, T. and Karwowski, W. and Vergnano, A. and Leali, F. and Taiar, R. (Eds.), Proceedings of the Intelligent Human Systems Integration 2020. Advances in Intelligent Systems and Computing, p. 1021-1027. Link zur Publikation [40] Link zur Originalpublikation [41]

Lommerzheim, M., Prezenski, S., Russwinkel, N. and Brechmann, A. (2020). Category Learning as a Use Case for Anticipating Individual Human Decision Making by Intelligent Systems [42]. In Ahram, T. and Karwowski, W. and Vergnano, A. and Leali, F. and Taiar, R. (Eds.), Proceedings of the Intelligent Human Systems Integration 2020. Advances in Intelligent Systems and Computing, p. 159-164. Link zur Publikation [43] Link zur Originalpublikation [44]

Preuss, K. and Russwinkel, N. (2019, July). Proposing a Cognitive System for Universal Mental Spatial Transformations [45]. 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 [47]. In Proceedings of the 17th International Conference on Cognitive Modelling. Link zur Publikation [48] Link zur Originalpublikation [49]

Scharfe, M. and Russwinkel, N. (2019). Towards a Cognitive Model of the Takeover in Highly Automated Driving for the Improvement of Human Machine Interaction [50]. In Proceedings of the 17th International Conference on Cognitive Modelling. Link zur Originalpublikation [51]

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 [52]. In Proceedings of the 41th Annual Cognitive Science Society Meeting. Link zur Originalpublikation [53]

Wiese, S., Lotz, A. and Russwinkel, N. (2019). SEEV-VM: ACT-R Visual Module based on SEEV theory [54]. In Proceedings of the 17th International Conference on Cognitive Modeling. Link zur Publikation [55]

Joeres, F., Schindele, D., Luz, M., Blaschke, S., Russwinkel, N., Schostak, M. and Hansen, C. (2019). How well do software assistants for minimally invasive partial nephrectomy meet surgeon information needs? A cognitive task analysis and literature review study [56]. PLoS ONE, 14(7), p. 1-24. Link zur Originalpublikation [57]

Lotz, A., Russwinkel, N. and Wohlfarth, E. (2019). Response Times and Gaze Behavior of Truck Drivers in Time Critical Conditional Automated Driving Take-overs [58]. Transportation Research Part F: Traffic Psychology and Behaviour, 64, p. 532-551. Link zur Originalpublikation [59]

Scharfe, M. and Russwinkel, N. (2019). A Cognitive Model for the Takeover Task in Complex Environments for Highly Automated Driving [60]. 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? [62]. 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 [63]. In Proceedings of the International Snow Science Workshop, p. 835-836. Link zur Originalpublikation [64]

Russwinkel, N., Prezenski, S., Doerr, L. and Tamborello, F. (2018). ACT-Droid meets ACT-Touch: Modelling differences in swiping behavior with real Apps [65]. In I. Juvins and C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling (ICCM 2018), p. 121-125. Link zur Publikation [66] Link zur Originalpublikation

Zhang, Z., Russwinkel, N. and Prezenski, S. (2018). Deciphering Dynamic Decision Making Using Cognitive Modeling Including Subjective Asessment [67]. In Rothkopf, C. et al. (Eds.), 14th Biannual Conference of the German Society for Cognitive Science, p. 79. Link zur Publikation [68] Link zur Originalpublikation

Thomaz, A. L., Lieven, E., Cakmak, M., Chai, J., Garrod, S., Gray, W., Leviston, S. C., Paiva, A. and Russwinkel, N. (2018). Interaction for Task Instruction and Learning [69]. Gluck, K. A. and Laird, J. E. (Eds.), Interactive Task Learning: Agents, Robots, and Humans Acquiring New Tasks through Natural Interactions. MIT Press Cambridge, Massachusets.

Lindner, S., Arlt, L. and Russwinkel, N. (2018). Comparing Models of Visual Search in Heterogeneous Search Fields [70]. In I. Juvina, J. Houpt, & C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling, p. 63-68. Link zur Originalpublikation [71]

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 [72]. ScienceDirect:Procedia Computer Science, 145, p. 668-674. Link zur Publikation [73]

Scharfe, M. and Russwinkel, N. (2018). Towards a Cognitive Model for the Adaption of Cooperative Takeover Systems [74]. 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 [76]. Front. Psychol., 8(1335), p. 1-18. doi: 10.3389/fpsyg.2017.01335 Link zur Originalpublikation [77]

Prezenski, S., Bruechner, D. and Russwinkel, N. (2017). Predictive Cognitive Modelling of Applications [78]. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics, p. 165-171. Link zur Publikation [79] Link zur Originalpublikation [80]

Lindner, S., Russwinkel, N., Arlt, L., Neufeld, M. and Schattenhofer, L. (2017). Modeling of Visual Search and Influence of Item Similarity [81]. In M. van Vugt, A. Banks & W. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling, p. 164-168. Link zur Publikation [82] Link zur Originalpublikation [83]

Klaproth, O. and Russwinkel, N. (2017). Conceptual Approach to Model the Effects of Feedback on Mental Model Activation [84]. In M. van Vugt, A. Banks & W. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling, p. 225. Link zur Publikation [85] Link zur Originalpublikation [86]

Dörr, L.-M., Russwinkel, N. and Prezenski, S. (2016). ACT-Droid: ACT-R interacting with Android applications [87]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 225-227. Link zur Publikation [88] Link zur Originalpublikation [89]

Lindner, S. and Russwinkel, N. (2016). Modeling of proximity-based expectations [90]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 246-248. Link zur Publikation [91] Link zur Originalpublikation [92]

Halbrügge, M. and Russwinkel, N. (2016). The sum of two models: how a composite model explains unexpected user behavior in a dual-task scenario [93]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 137-143. Link zur Publikation [94] Link zur Originalpublikation [95]

Prezenski, S. and Russwinkel, N. (2016). Towards a general model of repeated app usage [96]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 201-207. Link zur Publikation [97] Link zur Originalpublikation [98]

Prezenski, S. and Russwinkel, N. (2016). A proposed method of matching ACT-R and EEG-Data [99]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 249-251. Link zur Publikation [100] Link zur Originalpublikation [101]

Russwinkel, N., Prezenski, S., Halbrügge, M. and Lindner, S. (2016). Introduction to Cognitive Modelling with ACT-R [102]. In Proceedings of the 13th Biannual Conference of the German Cognitive Science Society (KogWis 2016). (Tutorial im Rahmen der KogWis 2016) Link zur Publikation [103]

Lotz, A. and Russwinkel, N. (2016). Modeling different strategies in mental rotation [104]. 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 [105]. 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 [106]. 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 [107]. In Soeffker, D.; Kluge, A. (Eds.), Online Journal Kognitive Systeme, Heft 1(Vol. 2), 2015. Link zur Publikation [108]

Wirzberger, M. and Russwinkel, N. (2015). Modeling interruption and resumption in a smartphone task: An ACT-R approach [109]. i-com, 14(2), p. 147-154doi: 10.1515/icom-2015-0033.