Publications at the Chair

Scharfe, M., Zeeb, K. and Russwinkel, N. (2020). The Impact of Situational Complexity and Familiarity on Takeover Quality in Uncritical Highly Automated Driving Scenarios. Information, 11, p. 115.

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

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. Frontiers in Neuroscience, 14(795), p. 1-12.

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. Topics in Cognitive Science, 12(3), p. 1012-1029.

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. Cognition, Technology and Work, (2020).

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. 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.

Russwinkel, N. (2020). Antizipierende interaktiv lernende autonome Agenten. In Buxbaum, HJ. (Eds.), Mensch-Roboter-Kollaboration, p. 193-207.

Russwinkel, N., Vernaleken, C. and Klaproth, O. (2020). Towards Cognitive Assistance and Teaming in Aviation by Inferring Pilot's Mental State. 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.

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. 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.

Scharfe, M. (2020). How are Eye Tracking Patterns in Takeover Situations related to Complexity, Takeover Quality and Cognitiive Model Predictions?. In Zachaeus, Carolin (Eds.), Proceedings of the AMAA2020 Intelligent System Solutions for Auto Mobility and Beyond.

Weidemann, A. and Rußwinkel, N. (2019, September). Investigation of Frustration. Poster presented at the Mensch und Computer 2019. Hamburg, Germany.

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

Blum, S., Çetin, G. and Stuerzlinger, W. (2019). Immersive Analytics Sensemaking on Different Platforms. In Václav Skala (Eds.), World Society for Computer Graphics.

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

Prezenski, S. (2019). Interactive Learning of Dynamic Systems: A Cognitive Modeling Approach to Mental Model Building and Updating (Dissertation). doi: http://dx.doi.org/10.14279/depositonce-7951.