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.

Lotz, A., Russwinkel, N., Wagner, T. and Wohlfarth, E. (2020). An adaptive assistance system for subjective critical driving situations: understanding the relationship between subjective and objective complexity. In de Waard, Dick et al. (Eds.), Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2019 Annual Conference, p. 1-12.

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.

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

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. PLoS ONE, 14(7), p. 1-24.

Klaproth, O., Halbrügge, M. and Russwinkel, N. (2019). ACT-R model for cognitive assistance in handling flight deck alerts. In Proceedings of the 17th International Conference on Cognitive Modeling.

Lotz, A. and Weissenberger, S. (2019). Predicting take-over times of truck drivers in conditional autonomous driving. In Advances in Intelligent Systems and Computing. Advances in Human Aspects of Transportation 2019, p. 329–338.

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