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2020
Scharfe, M., Zeeb, K. and Russwinkel, N.
(2020). The Impact of Situational Complexity and Familiarity on
Takeover Quality in Uncritical Highly Automated Driving Scenarios
[12]. 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 [13]. 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 [14]. 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 [15]. 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 [16].
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 [17]. 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 [18]. 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 [19]. 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
[20]. 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? [21]. In Zachaeus, Carolin
(Eds.), Proceedings of the AMAA2020 Intelligent System Solutions
for Auto Mobility and Beyond.
2019
Weidemann, A. and Rußwinkel, N. (2019,
September). Investigation of Frustration [22]. 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 [23]. 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 [24].
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 [25]. 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) [26]. doi:
http://dx.doi.org/10.14279/depositonce-7951.
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