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Cognitive Modeling in dynamic Human-Machine SystemsPublications

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Publications at the Chair

Wirzberger, M. (2012). Experimentelle Induktion beeinträchtigter Aufmerksamkeit im Kontext des seductive detail Effekts (Bachelorarbeit). FernUniversität in Hagen, Hagen..


Wirzberger, M. and Rey, G. D. (2013). Inducing impaired attention within the seductive detail effect: Do already distracted learners suffer more?. In Ansorge, U. and Kirchler, E. and Lamm, C. and Leder, H. (Eds.), Abstracts of the 55th Conference of Experimental Psychologists, p. 314.


Wirzberger, M. and Rey, G. D. (2013). Attention impairment in multimedia learning: Does initial task attention act as moderator?. In Schwab, F. and Carolus, A. and Brill, M. and Hennighausen, C. (Eds.), Media Psychology: Media Research: Yesterday, Today, and Tomorrow. Proceedings of the 8th Conference of the Media Psychology Division of the German Psychological Society, p. 11.


Wirzberger, M. and Russwinkel, N. (2014). "I don't need it" - Modeling ad-induced interruption while using a smartphone-app. Vortrag auf der Crosswolds 2014: Theory, Development and Evaluation of Social Technology, Technische Universität Chemnitz.


Wirzberger, M., Lüderitz, C., Rohrer, S. and Karrer-Gauß, K. (2014). „Keep green!“ – Nachhaltige Förderung ökologischen Fahrens durch Simulatortraining?. In Güntürkün, O. (Eds.), 49. Kongress der Deutschen Gesellschaft für Psychologie. Abstractband, p. 570.


Wirzberger, M. (2014). Smart@load? Modeling interruption while using a Smartphone-app under alternating workload conditions (Masterarbeit). Technische Universität Berlin, Berlin..


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. 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. In I. Juvina, J. Houpt, & C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling, p. 63-68.


Lindner, S. and Russwinkel, N. (2015). The Effect of Design Decisions on User Expectations - A modelling approach. Berliner Werkstatt Mensch-Maschine-Systeme, 2015.


Schuhmacher, J. (2017). Machine Learning for User Learning. In Hess, Steffen and Fischer, Holger (Eds.), Mensch und Computer 2017 - Usability Professionals, p. 275-280.


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.


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).


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.


Lotz, A. and Russwinkel, N. (2016). Modeling different strategies in mental rotation. In Proceedings of the 13th Biannual Conference of the German Cognitive Science Society (KogWis 2016).


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