TU Berlin

Kognitive Modellierung in dynamischen Mensch-Maschine-SystemenPublikationen

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Publikationen am Fachgebiet

2016

Halbrügge, M. and Russwinkel, N. (2016). The sum of two models: how a composite model explains unexpected user behavior in a dual-task scenario. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 137-143.


Prezenski, S. and Russwinkel, N. (2016). Towards a general model of repeated app usage. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 201-207.


Prezenski, S. and Russwinkel, N. (2016). A proposed method of matching ACT-R and EEG-Data. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 249-251.


Russwinkel, N., Prezenski, S., Halbrügge, M. and Lindner, S. (2016). Introduction to Cognitive Modelling with ACT-R. In Proceedings of the 13th Biannual Conference of the German Cognitive Science Society (KogWis 2016). (Tutorial im Rahmen der KogWis 2016)


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).


Friedrich, M., Russwinkel, N. and Möhlenbrink, C. (2016). A guideline for integrating dynamic areas of interests in existing set-up for capturing eye movement: Looking at moving aircraft. Behavior Research Methods, June,, p. 1-13doi: 10.3758/s13428-016-0745-x.


Konsanke, H. and Russwinkel, N. (2016). Doing all at once? Modeling driver workload in an abstract multitasking scenario. In Abstractband der 58. Tagung experimentell arbeitender Psychologen (TeaP). (Symposium: Extending Basic and Applied Experimental Cognitive Research with ACT-R.)


Löffler, D., Arlt, L., Toriizuka, T., Tscharn, R. and Hurtienne, J. (2016). Substituting Color for Haptic Attributes in Conceptual Metaphors for Tangible Interaction Design. In Proceedings of the TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction, p. 118-125.


Revina, Y., Petro, L., Florea, C., Blum, S., Kriegeskorte, N. and Muckli, L. (2016). Meaningful feedback to occluded V1 is improved by increasing local information in the surround. Journal of Vision, 16, p. 572. doi: 10.1167/16.12.572


2017

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


Prezenski, S., Brechmann, A., Wolff, S. and Russwinkel, N. (2017). A Cognitive Modeling Approach to Strategy Formation in Dynamic Decision Making. Front. Psychol., 8(1335), p. 1-18. doi: 10.3389/fpsyg.2017.01335


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


Ehrenbrink, P. and Prezenski, S. (2017). Causes of Psychological Reactance in Human-Computer Interaction - A Literature Review and Survey. In Proceedings of the 35th European Conference on Cognitive Ergonomics (ECCE 2017). (electronic)


Prezenski, S. (2017). Implementing Mental Model Updating in ACT-R. In M. van Vugt, A. Banks & W. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling, p. 121-127.


Lindner, S., Russwinkel, N., Arlt, L., Neufeld, M. and Schattenhofer, L. (2017). Modeling of Visual Search and Influence of Item Similarity. In M. van Vugt, A. Banks & W. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling, p. 164-168.


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