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Publikationen am Fachgebiet

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2018

Prezenski, S., Brechmann, A., Wolff, S. and Russwinkel, N. (2018). To what extent can ACT-R models address complex problem solving? [12]. In 51. Kongress der Deutschen Gesellschaft für Psychologie Supplement to Psychological Test and Assessment Modeling, p. 276.


Prezenski, S., Russwinkel, N. and Win, K. (2018). Designing a wearable persuasive avalanche warning system [13]. In Proceedings of the International Snow Science Workshop, p. 835-836.


Russwinkel, N., Prezenski, S., Doerr, L. and Tamborello, F. (2018). ACT-Droid meets ACT-Touch: Modelling differences in swiping behavior with real Apps [14]. In I. Juvins and C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling (ICCM 2018), p. 121-125.


Zhang, Z., Russwinkel, N. and Prezenski, S. (2018). Deciphering Dynamic Decision Making Using Cognitive Modeling Including Subjective Asessment [15]. In Rothkopf, C. et al. (Eds.), 14th Biannual Conference of the German Society for Cognitive Science, p. 79.


Lindner, S., Arlt, L. and Russwinkel, N. (2018). Comparing Models of Visual Search in Heterogeneous Search Fields [16]. In I. Juvina, J. Houpt, & C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling, p. 63-68.


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


2019

Scharfe, M. and Russwinkel, N. (2019). Towards a Cognitive Model of the Takeover in Highly Automated Driving for the Improvement of Human Machine Interaction [18]. In Proceedings of the 17th International Conference on Cognitive Modelling.


Scharfe, M. and Russwinkel, N. (2019). A Cognitive Model for Understanding the Takeover in Highly Automated Driving Depending on the Objective Complexity of Non-Driving Related Tasks and the Traffic Environment [19]. In Proceedings of the 41th Annual Cognitive Science Society Meeting.


Wiese, S., Lotz, A. and Russwinkel, N. (2019). SEEV-VM: ACT-R Visual Module based on SEEV theory [20]. In Proceedings of the 17th International Conference on Cognitive Modeling.


Klaproth, O., Halbrügge, M. and Russwinkel, N. (2019). ACT-R model for cognitive assistance in handling flight deck alerts [21]. In Proceedings of the 17th International Conference on Cognitive Modeling.


Lotz, A. and Weissenberger, S. (2019). Predicting take-over times of truck drivers in conditional autonomous driving [22]. In Advances in Intelligent Systems and Computing. Advances in Human Aspects of Transportation 2019, p. 329–338.


Lotz, A., Russwinkel, N. and Wohlfarth, E. (2019). Response Times and Gaze Behavior of Truck Drivers in Time Critical Conditional Automated Driving Take-overs [23]. Transportation Research Part F: Traffic Psychology and Behaviour, 64, p. 532-551.


Fuhl, W., Castner, N., Kuebler, T., Lotz, A., Rosenstiel, W. and Kasneci, E. (2019). Ferns for area of interest free scanpath classification [24]. In ACM (Eds.), Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications.


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.


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