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

Lupe [1]

Researcher/ Lecturer

 

Marchstr. 23
10587 Berlin
Room: MAR 3.070

 

sabine.prezenski(at)tu-berlin.de [2]

 

Tel: +49 30 315 29628

 

Projectleader: AVALANCHE [3]

 

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 [4]
  • 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 [5]

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) [6]

      related publication

  • Implementing Mental Model Updating in ACT-R [7]
  • Towards a general model of repeated app usage [8]
  • Combining cognitive ACT-R models with usability testing reveals users mental model while shopping with a smartphone application [9]
  • Interactive Learning of Dynamic Systems: [10]A Cognitive Modeling Approach to Mental Model Building and Updating [Dissertation] [11]

Dynamic Decision Making in Category Learning (Mental Model Building and Updating) [12]

      related publication

  • A Cognitive Modeling Approach to Strategy Formation in Dynamic Decision Making [13]
  • Implementing Mental Model Updating in ACT-R [14]
  • Modeling Individual Strategies in Dynamic Decision-making with ACT-R: A Task Toward Decision-making Assistance in HCI [15]
  • Interactive Learning of Dynamic Systems: [16]A Cognitive Modeling Approach to Mental Model Building and Updating [Dissertation] [17]

2. Tools

Automated Usability Predictition:

  • ACT-Droid:

    • first version :Lisa Doerr, Nele Rußwinkel & Sabine Prezenski (2016). See paper: ACT-Droid: ACT-R interacting with Android applications [18]
    • second version: Lisa Doerr, Nele Rußwinkel, Sabine Prezenski & Frank Tamborello (2018). See paper: ACT-Droid meets ACT-Touch: Modelling differences in swiping behavior with real Apps [19]

  • Cawler (2017):

    • Dominik Brüchner & Sabine Prezenski (2017).

Publications

next >> [21]

Prezenski, S. (2019). Interactive Learning of Dynamic Systems: A Cognitive Modeling Approach to Mental Model Building and Updating (Dissertation) [22]. . doi: http://dx.doi.org/10.14279/depositonce-7951.

Link to publication [23] Link to original publication [24]

Prezenski, S., Brechmann, A., Wolff, S. and Russwinkel, N. (2018). To what extent can ACT-R models address complex problem solving? [25]. 51. Kongress der Deutschen Gesellschaft für Psychologie Supplement to Psychological Test and Assessment Modeling, (), pp. 276. Link to original publication


Prezenski, S., Russwinkel, N. and Win, K. (2018). Designing a wearable persuasive avalanche warning system [26]. in Proceedings of the International Snow Science Workshop, (), 835-836. Link to original publication [27]


Russwinkel, N., Prezenski, S., Doerr, L. and Tamborello, F. (2018). ACT-Droid meets ACT-Touch: Modelling differences in swiping behavior with real Apps [28]. Proceedings of the 16th International Conference on Cognitive Modeling (ICCM 2018), (), pp. 121-125. Link to publication [29] Link to original publication


Zhang, Z., Russwinkel, N. and Prezenski, S. (2018). Deciphering Dynamic Decision Making Using Cognitive Modeling Icluding Subjective Asessment [30]. KOGWIS2018: Computational Approaches to Cognitive Science, (), 79. Link to publication [31] 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 [32]. ScienceDirect:Procedia Computer Science, (145), 668-674. Link to publication [33]


Prezenski, S., Brechmann, A., Wolff, S. and Russwinkel, N. (2017). A Cognitive Modeling Approach to Strategy Formation in Dynamic Decision Making [34]. Front. Psychol., (8:1335), . . doi: 10.3389/fpsyg.2017.01335 Link to original publication [35]


Prezenski, S., Bruechner, D. and Russwinkel, N. (2017). Predictive Cognitive Modelling of Applications [36]. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, (VISIGRAPP 2017) (pp. 165-171), . Link to publication [37] Link to original publication [38]


Ehrenbrink, P. and Prezenski, S. (2017). Causes of Psychological Reactance in Human-Computer Interaction - A Literature Review and Survey [39]. In Proceedings of the 35th European Conference on Cognitive Ergonomics (ECCE 2017). . (electronic) Link to publication [40]


Prezenski, S. (2017). Implementing Mental Model Updating in ACT-R [41]. In M. van Vugt, A. Banks & W. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling. Coventry, United Kingdom. Link to publication [42] Link to original publication [43]


Dörr, L.-M., Russwinkel, N. and Prezenski, S. (2016). ACT-Droid: ACT-R interacting with Android applications [44]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling. University Park, PA: Penn State. Link to publication [45] Link to original publication [46]


Prezenski, S. and Russwinkel, N. (2016). Towards a general model of repeated app usage [47]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling. University Park, PA: Penn State. Link to publication [48] Link to original publication [49]


Prezenski, S. and Russwinkel, N. (2016). A proposed method of matching ACT-R and EEG-Data [50]. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling. University Park, PA: Penn State. Link to publication [51] Link to original publication [52]


Russwinkel, N., Prezenski, S., Halbrügge, M. and Lindner, S. (2016). Introduction to Cognitive Modelling with ACT-R [53]. In Proceedings of the 13th Biannual Conference of the German Cognitive Science Society (KogWis 2016). Bremen, Germany. (Tutorial im Rahmen der KogWis 2016) Link to publication [54]


Prezenski, S. and Russwinkel, N. (2014). Combining cognitive ACT-R models with usability testing reveals users mental model while shopping with a smartphone application [55]. International Journal On Advances in Intelligent Systems, 7(3-4), 700-715. Link to publication [56] Link to original publication [57]


Prezenski, S. and Russwinkel, N. (2014). Cognitive modeling offers explanations for effects found in usability studies [58]. Poster präsentiert auf der 32. European Conference on Cognitive Ergonomics ECCE 2014. Link to publication [59]


Russwinkel, N. and Prezenski, S. (2014). ACT-R Meets Usability [60]. In Proceedings of the Sixth International Conference on Advanced Cognitive Technologies and Applications COGNITIVE, 2014. Venice, Italy: IARIA. (Best Paper Award) Link to publication [61] Link to original publication [62]


Russwinkel, N., Prezenski, S., Joeres, F., Lindner, S. and Halbrügge, M. (2014). Introduction to cognitive modelling with ACT-R [63]. Cognitive Processing, 15(Suppl. 1), S25. (Tutorial im Rahmen der KogWis 2014) Link to publication [64]


Russwinkel, N., Prezenski, S., Lindner, S., Halbrügge, M., Schulz, M. and Wirzberger, M. (2014). Modeling of cognitive aspects of mobile interaction [65]. Cognitive Processing, 15(Suppl. 1), S22-S24. . doi: 10.1007/s10339-014-0632-2 (Symposium im Rahmen der KogWis 2014) Link to publication [66]


Prezenski, S. (2014). Evaluating the usability of a smartphone application with ACT -R [67]. Cogn. Process, 15(Suppl. 1), pp. 23-24. Link to publication [68] Link to original publication [69]


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