Inhalt des Dokuments
Dr. rer. nat. Sabine Prezenski (Dipl.-Psych.)
[1]
- © www.blende2komma2.de
Wissenschaftliche Mitarbeiterin
Marchstr. 23
10587 Berlin
Raum: MAR 3.070
sabine.prezenski(at)tu-berlin.de [2]
Tel: +49 30 314 29628
Projektleitung: AVALANCHE [3]
Forschungsinteressen
- Kognitive Systeme
- Dynamisches Entscheiden in Risikobereichen
- Companion Systeme
- Kognitive Modellierung (ACT-R)
- Usability (Mobile Interaktion)
- Aufbau und anpassen von mentalen Modell von Nutzern in dynamischen Situationen
- Neuropsychologische Methoden (EEG)
Curriculum Vitae
Abschluss
- Dissertation:
"Interactive Learning of Dynamic
Systems: [4]A Cognitive Modeling Approach
to Mental Model Building and Updating. [5]" (Tag der
Wissenschaftliche Aussprache: 29. November 2018). Video der
Verteidigung [6]
- Psychologie (Diplom), FU Berlin Diplomarbeit: “Continuous exclusion during a game of Cyberball- A single trial study”
Berufserfahrung
- 04/2013 – aktuell Kognitive Modellierung in dynamischen Mensch-Maschine Systemen, Nele Rußwinkel, Technische Universität Berlin, Wissenschaftliche Mitarbeiterin (10 Monate Elternzeit 10/2014- 08/2015)
- 10/2017 – 03/2018 Center for Persuasive Technology and Society, Khin Tan Win, University of Wollongong Australien, Gastwissenschaftlerin
- 02/2009-09/2011 Experimentelle Psychologie und Neuropsychologie, Michael Niedeggen, Freie Universität Berlin, Studentische Hilfskraft und Tutorin
- 02/2009-04/2009 Research & Advanced Engineering, Michael Schrauff, Daimler AG Sindelfingen, Praktikantin
- 04/2007-08/2008 Babylabor, Franziska Kopp, Max-Planck-Institut für Bildungsforschung Berlin, Studentische Hilfskraft
Lehrveranstaltungen
Master
- Kognitive Systeme (Seminar, 2 ECTS, TU Berlin, 2019)
- Decision Making in Real-Word Settings (Seminar, 2 ECTS), TU Berlin, 2017
- Introduction to Cognitive Modeling (Vorlesung und Übung, 6 ECTS), TU Berlin, 2013, 2014, 2016, 2017, 2018
Bachelor
- Human Factors Engineering E-Learning (Online Kurs, 6 ECTS), TU Berlin, 2017/2018; 2018/19
- Human Factors Engineering (Vorlesung und Übung, 6 ECTS), TU Berlin, 2013/14, 2015/16, 2016/17
- Tutorium Biopsychologie (Tutorium, 2 ECTS), FU Berlin, 2011.
Auszeichnungen und Wettbewerbe
- Gewinn des Ideenwettbewerbs „Research to Market Challenge“ der Gründungsförderung der Berliner Universtäten (PROFUND 2018). Erster Platz in der Kategorie „Digital“ mit der Idee „Navalanche“. (06/2018)
- Best-Paper Award im Rahmen der Konferenz: “Sixth International Conference on Advanced Cognitive Technologies and Applications” für “ACT-R Meets Usability” (04/2014)
Vorträge
- 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 [7]
- 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)
Modelle und Tools
1. kognitive Modelle
assozierte Publikationen
- Implementing Mental Model Updating in ACT-R [9]
- Towards a general model of repeated app usage [10]
- Combining cognitive ACT-R models with usability testing reveals users mental model while shopping with a smartphone application [11]
- Interactive Learning of Dynamic Systems: [12]A Cognitive Modeling Approach to Mental Model Building and Updating [Dissertation] [13]
Dynamic Decision Making in Category Learning (Mental Model Building and Updating) [14]
assoziierte Publikationen
- A Cognitive Modeling Approach to Strategy Formation in Dynamic Decision Making [15]
- Implementing Mental Model Updating in ACT-R [16]
- Modeling Individual Strategies in Dynamic Decision-making with ACT-R: A Task Toward Decision-making Assistance in HCI [17]
- Interactive Learning of Dynamic Systems: [18]A Cognitive Modeling Approach to Mental Model Building and Updating [Dissertation] [19]
2. Tools
- ACT-Droid:
- erste Version :Lisa Doerr, Nele Rußwinkel & Sabine Prezenski (2016). Siehe Paper: ACT-Droid: ACT-R interacting with Android applications [20]
-
zweite Version: Lisa Doerr, Nele Rußwinkel, Sabine Prezenski & Frank Tamborello (2018). Siehe Paper: ACT-Droid meets ACT-Touch: Modelling differences in swiping behavior with real Apps [21]
- Cawler (2017)
[22]:
Dominik Brüchner & Sabine Prezenski (2017).
Publikationen
Zitatschlüssel | Prezenski2016b |
---|---|
Autor | Prezenski, S. and Russwinkel, N. |
Buchtitel | Proceedings of the 14th International Conference on Cognitive Modeling |
Seiten | 249-251 |
Jahr | 2016 |
Adresse | University Park, PA: Penn State |
Herausgeber | D. Reitter & F. E. Ritter |
Zurück [26]
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rezenski/DIssertation_Sabine_Prezenski_2019.pdf
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rezenski/2017_Implementing_Mental_Model_Updating_in_ACT
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Prezenski/Prezenski_S._Russwinkel_N._2016_Towards_a_gen
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Prezenski/Combining_Cognitive_ACT-R_Models_with_Usabili
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th_a.pdf
Prezenski/DIssertation_Sabine_Prezenski_2019.pdf
Prezenski/DIssertation_Sabine_Prezenski_2019.pdf
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Prezenski/2017_Implementing_Mental_Model_Updating_in_AC
T-R.pdf
Prezenski/Zhang_Decision-making2018.pdf
Prezenski/DIssertation_Sabine_Prezenski_2019.pdf
Prezenski/DIssertation_Sabine_Prezenski_2019.pdf
016iccm.pdf
Prezenski/ICCM_2018_Proceedings-1.pdf
Prezenski/Prezenski_S._Russwinkel_N._2016_A_proposed_me
thod_of_matching_ACT-R_and_EEG-Data.pdf
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