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Kognitive Modellierung in dynamischen Mensch-Maschine-SystemenPublikationen

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Publikationen am Fachgebiet

Weidemann, A., Compangna, D., Marquardt, M., Martens, M. and Boblan, I. (2016). Biological, Biomimetic and Sociological Aspects of Human-Robot Interaction in Work Environments. In Nah, FH and Tan, CH (Eds.), Proceedings of the 18th International Conference on Human-Computer Interaction – HCII 2016, p. 369-379.


Weidemann, A. (2018, November). Frustration and Learning in Human-Robot Cooperation. Poster presented at the 2nd Winter School Human Factors Aspects of Cooperative Systems Design, HUFACO 2018. Technical University of Munich, Germany.


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


Weidemann, A. and Rußwinkel, N. ([2019]). Investigation of Frustration. In Alt, Florian and Bulling, Andreas and Döring, Tanja (Eds.), Proceedings of the Mensch ung Computer 2019, p. 819-824.


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


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Prezenski, S., Brechmann, A., Wolff, S. and Russwinkel, N. (2018). To what extent can ACT-R models address complex problem solving?. In 51. Kongress der Deutschen Gesellschaft für Psychologie Supplement to Psychological Test and Assessment Modeling, p. 276.


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Kraft, A., Pape, N., Hagendorf, H., Schmidt, S., Naito, A. and Brandt, S. A. (2007). What determines sustained visual attention? The impact of distracter positions, task difficulty and visual fields compared. Brain Research, 1133(1), p. 123-135.


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Prezenski, S. (2014). Evaluating the usability of a smartphone application with ACT -R. Cogn. Process, 15(Suppl. 1), p. pp. 23-24.


Joeres, F. and Russwinkel, N. (2014). Introduction of an ACT-R based modeling approach to mental rotation. Cognitive Processing, 15(Suppl. 1), p. S112-S114.


Russwinkel, N., Prezenski, S., Joeres, F., Lindner, S. and Halbrügge, M. (2014). Introduction to cognitive modelling with ACT-R. Cognitive Processing, 15(Suppl. 1), p. S25. (Tutorial im Rahmen der KogWis 2014)


Russwinkel, N., Prezenski, S., Lindner, S., Halbrügge, M., Schulz, M. and Wirzberger, M. (2014). Modeling of cognitive aspects of mobile interaction. Cognitive Processing, 15(Suppl. 1), p. S22-S24. doi: 10.1007/s10339-014-0632-2 (Symposium im Rahmen der KogWis 2014)


Dzaack, J., Trösterer, S., Pape, N. and Urbas, L. (2007). A computational model of retrospective time estimation. Cognitive Systems Research, 8(3), p. 208-215.


van Rijn, H., Russwinkel, N. and Peebles, D. (2013). Editoral to the special issue "The Best of ICCM 2013". Cognitive Systems Research, 24(1), p. 1. doi: 10.1016/j.cogsys.2013.01.004


Russwinkel, N., Urbas, L. and Thüring, M. (2011). Predicting temporal errors in complex task environments: A computational and experimental approach. Cognitive Systems Research, 12(3-4), p. 336-354.


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