TU Berlin

Cognitive Modeling in dynamic Human-Machine SystemsSabine Prezenski

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Dr. rer. nat. Sabine Prezenski (Dipl.-Psych.)

Lupe
© www.blende2komma2.de

Researcher/ Lecturer

 

Marchstr. 23
10587 Berlin
Room: MAR 3.070

 

 

Tel: +49 30 315 29628

 

Projectleader: AVALANCHE

 

Research interests

  • Decision-Making in High-Risk Settings
  • Cognitive Systems
  • Companion Systems
  • Cognitive modeling (ACT-R)
  • Usability
  • Mobile Interaction
  • Neuropsychological methods (EEG)

 

Curriculum Vitae

Degree

  • Dissertation: "Interactive Learning of Dynamic Systems: "A Cognitive Modeling Approach to Mental Model Building and Updating." Defence on 29th of November 2018. Video of Defence Talk
  • Psychology (Diploma), Free University Berlin Thesis: "Continuous exclusion during a game of Cyberball- A single trial study"

Working experience

  • Visiting Associate Fellow with the Faculty of Engineering and Information Sciences at the University Wollongong in Australien (WS 2017/18)
  • Research assistant/ lecturer, Cognitive Modelling in Dynamic Human-Machine-Systems, Berlin Institute of Technoloy (since 04/2013)
  • Student assistant, Experimental Psychology and Neuropsychology, Free University Berlin (02/2009 - 09/2011)
  • Intern at Daimler AG, Research & Advanced Engineering/Mindlab (02/2009 - 04/2009)
  • Student assistant at Max Planck Institute for Human Development, Berlin (Babylab) (07/2007 - 07/2008)

 

Teaching Experience

  • Human Factors Engineering (E-Learning), TU Berlin (WS 2018/2019, WS 2017/2018)
  • Human Factors Engineering, TU Berlin (WS 2016/17, WS 2015/16, WS 2013/14) 
  • Decision-Making in Real-World Settings, TU Berlin (SS 2017)
  • Tutorial biological psychology, FU Berlin (SS 2011)
  • Introduction to cognitive modelling, TU Berlin (SS 2019 SS 2018 SS 2017 SS 2016, SS 2014, SS 2013)
  • Cognitive Systems, TU Berlin (SS 2019)

 

Talks

ISSW 2018, Innsbruck, Austria "Designing a wearable persuasive avalanche warning system"(10/2018)

DGPS 2018, Frankfurt, Germany- Symposium zu Ehren von Dietriech Dörner: “To what extent can ACT-R models address Complex Problem Solving?” (09/2018)

HLAI/BICA 2018, Prag, Czech Republic: “Modeling Individual Strategies in Dynamic Decision-making with ACT-R: A Task Toward Decision-making Assistance in HCI” (08/2018). Video of presentation

Second Workshop on Persuasive Technology and Society, Wollongong, Australia:“Developing a Personalized Persuasive Avalanche Warning System” (11/2017)

ICCM 2017, London, UK: “Implementing Mental Model Updating in ACT-R“ (07/2017)

VISIGRAPP/HUCAPP 2017, Porto, Portugal: "Predictive Cognitive Modelling of Applications" (02/2017)

KOGWIS 2016, Bremen, Germany: “ACT-R Workshop” (10/2016)

KOGWIS 2014, Tübingen, Germany: “Introduction to Cognitive Modelling with ACT-R” (10/2014)

COGNITIVE 2014, Venice, Italy: “Combining Formalized Cognitive Theory (ACT-R) And EEG-Data Is A
Milestone Towards A Comprehensive Understanding of Human Information Processing.” (05/2014)

COGNITIVE 2014, Venice, Italy: “ACT-R Meets Usability” (05/2014)

 

Models and Tools

1. cognitive models

Usability Prediction (Users Mental Model)

      related publication

Dynamic Decision Making in Category Learning (Mental Model Building and Updating)

      related publication

2. Tools

Automated Usability Predictition:

Publications

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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. Link to publication Link to original publication

Prezenski, S. (2019). Interactive Learning of Dynamic Systems: A Cognitive Modeling Approach to Mental Model Building and Updating (Dissertation). doi: http://dx.doi.org/10.14279/depositonce-7951.

Link to publication Link to original publication

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. Link to original publication

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

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

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

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. ScienceDirect:Procedia Computer Science, 145, p. 668-674. Link to publication

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 Link to original publication

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. Link to publication Link to original publication

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) Link to publication

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. Link to publication Link to original publication

Dörr, L.-M., Russwinkel, N. and Prezenski, S. (2016). ACT-Droid: ACT-R interacting with Android applications. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling, p. 225-227. Link to publication Link to original publication

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. Link to publication Link to original publication

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. Link to publication Link to original publication

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) Link to publication

Prezenski, S. and Russwinkel, N. (2014). Combining cognitive ACT-R models with usability testing reveals users mental model while shopping with a smartphone application. International Journal On Advances in Intelligent Systems, 7(3-4), p. 700-715. Link to publication Link to original publication

Prezenski, S. and Russwinkel, N. (2014). Cognitive modeling offers explanations for effects found in usability studies. Poster präsentiert auf der 32. European Conference on Cognitive Ergonomics ECCE 2014. Link to publication

Russwinkel, N. and Prezenski, S. (2014). ACT-R Meets Usability. In Proceedings of the Sixth International Conference on Advanced Cognitive Technologies and Applications COGNITIVE, 2014. (Best Paper Award) Link to publication Link to original publication

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) Link to publication

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) Link to publication

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