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TU Berlin

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

Lupe [1]
© www.blende2komma2.de

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) [20]:

    • Dominik Brüchner & Sabine Prezenski (2017).

Publications

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Prezenski, S. (2013). Continuous exclusion during a game of Cyberball- A single trial study [23] (Diplomarbeit). Freie Universität Berlin, Berlin..

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