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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 [12]. ScienceDirect:Procedia Computer Science, 145, p. 668-674.

Compagna, D., Weidemann, A., Marquardt, M. and Graf, P. (2016). Sociological and Biological Insights on How to Prevent the Reduction in Cognitive Activity that Stems from Robots Assuming Workloads in Human–Robot Cooperation [13]. Societies, 6(4), p. 1-11.

Russwinkel, N., Urbas, L. and Thüring, M. (2011). Predicting temporal errors in complex task environments: A computational and experimental approach [14]. Special Issue on Complex Cognition in Cognitive Systems Research, 12(3-4), p. 336-354. doi: DOI:10.1016/j.cogsys.2010.09.003


Prezenski, S., Bruechner, D. and Russwinkel, N. (2017). Predictive Cognitive Modelling of Applications [15]. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics, p. 165-171.

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

Lotz, A., Russwinkel, N. and Wohlfarth, E. (2019). Response Times and Gaze Behavior of Truck Drivers in Time Critical Conditional Automated Driving Take-overs [17]. Transportation Research Part F: Traffic Psychology and Behaviour, 64, p. 532-551.

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