Biography

I am a PhD student working in the Experimental Clinical Psychology Group, Department of Psychology I, Julius-Maximilians-University of Würzburg, Germany, doing research on approach-avoidance behavior in social contexts and affective neuroscience. As part of the translational RTG2660 on approach-avoidance, I am interested in approach and avoidance behavior in social contexts. I love trying out new methods and research approaches especially to increase ecological validity of our results. Currently, I am learning a lot about neural signal processing, machine learning-based approaches, and virtual reality as a research method.

Interests
  • Approach and Avoidance Behavior in Social Contexts
  • Social and Affective Neuroscience
  • Virtual Reality
  • Artificial Intelligence and Machine Learning
  • Technology Acceptance
Education

  • Bachelor of Science in Business Information Systems, 2018-2022

    University of Applied Sciences Würzburg-Schweinfurt

  • Master of Science in Psychology, 2018-2020

    Julius-Maximilians-University of Würzburg

  • Bachelor of Science in Psychology, 2015-2018

    Julius-Maximilians-University of Würzburg

Teaching

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All University Online Course
Apr 1, 2022
ExPra SS2022
ExPra SS2022

University course for small groups of bachelor students on the topic of Social approach and avoidance behavior: A field study
Jun 1, 2020
KI Online Training
KI Online Training

Online-Training zum Thema künstliche Intelligenz (KI) in der Psychologie mit fünf Modulen zu Geschichte, Grundideen und Anwendungen von KI.

Skills

Python
R
unreal-engine
Unreal Engine

Experience

 
 
 
 
 
PhD Student
Experimental Clinical Psychology, Department of Psychology I, Julius-Maximilians-University of Würzburg
Nov 2021 – Present Würzburg, Germany
Research Assistant and Doctoral Student within the Research Training Group 2660, Approach - Avoidance
 
 
 
 
 
Internship & Student Research Assistant
Neurolab, Fraunhofer Institute for Industrial Engineering IAO
Sep 2020 – Aug 2021 Stuttgart, Germany
Internship and Bachelor Student. Thesis on the Decoding of Cognitive Load Using Neurophysiological Data
 
 
 
 
 
Student Research Assistant & Master Student
Work and Organizational Psychology, Department of Psychology II, Julius-Maximilians-University of Würzburg
Oct 2018 – Feb 2022 Würzburg, Germany
Student Research Assistant and Master Student. Thesis about the Development and Validation of an Online Training on Artificial Intelligence for Psychology Students

Recent Publications

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Sabrina Gado, Katharina Lingelbach, Mathias Vukelić (2022). Classifying Cognitive Load in a Quasi-Realistic Scenario Based on Multimodal Neurophysiological Data. Jahrestagung «Psychologie und Gehirn» 2022, Freiburg.

Cite Poster

Sabrina Gado, Regina Kempen, Katharina Lingelbach, Tanja Bipp (2022). Artificial intelligence in psychology: How can we enable psychology students to accept and use artificial intelligence?. Psychology Learning & Teaching, 21(1).

PDF Cite Project DOI

Sabrina Gado, Katharina Lingelbach, Michael Bui, Jochem W. Rieger, Mathias Vukelić (2021). Real-time feedback of subjective affect and working memory load based on neurophysiological activity. HCI International 2021.

Cite Poster Video DOI

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