Martina Truschzinski
Martina
Truschzinski
Affective Computing Researcher
BIOGRAPHY
Identifying the fundamental mathematical principles that underlie human thinking and behavior, and emotions, in particular, has been the main focus of my research since 2010. The overall goal of my research is, based on a deep and meaningful understanding of human emotions, the improvement of the robots ability to interact effectively in human-robot cooperative tasks.
I studied applied computer science with the main focus on neuroscience. My experience in supervised and unsupervised machine learning enabled me to describe emotions and cognitive functions using computational models. Emotions or emotional episodes manifest themselves in human behavior in different modalities: neuro-anatomically and physiologically, cognitively, behaviorally and subjectively.
In my diploma thesis, I investigated emotions as important components of human consciousness, which contribute significantly to the efficiency and performance of the brain. They influence cognitive processes such as perception, learning, subjective ratings, as well as reaction mechanisms, which are generated based on these cognitive processes. Based on the MOTIVATOR model from Grossberg and colleagues, my thesis presents a neurocomputational model based on neuro-anatomical and physiological insights that aims at bridging the gap between classical conditioning tasks and goal-directed learning, thereby leading to the emergence of cognitive-emotional processes.
In my PhD thesis, I investigated the influence of emotions at a higher level of behavior by means of psychological experiments. The main objective was to find a mathematical description of the subjective modality of emotional episodes during a cognitively demanding task. And moreover, to investigate the emotional impact on the performance within these demanding tasks. The result is, that I implemented a mathematical model of the behavioral and subjective modalities of an emotional episode. Additionally, this model allows the prediction and simulation of subjective changes in the emotional state of humans depending on personality, performance, workload and task difficulty.
Work Experiences
Understanding emotions means understanding human-being. For this reason, my passion belongs to understanding emotions and their genesis.
After finishing my studies, I worked at the chair of Automation Technology at Technische Universität Chemnitz and participated in several interdisciplinary projects and gained also working experieinces abroad by visiting for a research stay the Specs Lab in Barcelona, Spain.
Project Details
"StayCentered - methodical base for an air traffic controller assistance system"
Associated Researcher
- Building, programming and validating a computational emotional and cognitive model.
- Planning, conducting and statistical analyzing experiment data.
- Work with and supervise assistant students.
"Simulation of air traffic controller tasks in a virtual reality room"
Research Stay at SPECS Lab, Universitat Pompeu Fabra, Barcelona, Spain
- Experience abroad within an international research group.
- Using virtual reality for psychological experiments.
- Using physiological measures (EDA and pupil dilation) to access the internal state of participants.
"The Smart Virtual Worker – digital human models for simulation of industrial operations" (Junior Research Group )
Research Associate
- Building a computational emotional model for industrial working tasks.
- Combining the emotional model outcome with reinforcement learning.
- Experiences in writing research proposals to gain research fundings (e. g. Involvement in the application for the project "StayCentered").
DLR Robot Challenge “DLR SpaceBot Cup 2013” and "DLR SpaceBot Camp 2015"
Participant
- Using and Developing Robot Behaviors in ROS (Robot Operation System).
- Using SMACH to Build a State Machine Organizing the Robot Behaviors.
- Teamwork to Build and Program a Robot for the Challenge.
Martina
Truschzinski
Affective Computing Researcher
Skills
Programming Skills
C, C++, C#, Python, R, PHP, HTML, SPSS.
Used Programs
Matlab, LaTeX, ROS, SPSS, Visual Studio, Unity 3D
General
Empathic, courageous and solution-oriented
Martina
Truschzinski
Affective Computing Researcher
Selection of Publication Record
2018
Martina Truschzinski, Alberto Betella, Guido Brunnett, and Paul F. M. J.Verschure. Emotional and cognitive influences in air traffic controller tasks: An investigation using a virtual environment. Applied Ergonomics, 69:1–9, May2018.
Martina Truschzinski, Georg Valtin, and Peter Ohler. Modeling mood changes within a cognitive demanding air traffic controller task. IEEE Transactions onAutomatic Control, submitted.
2017
Martina Truschzinski and Maria Wirzberger. A dynamic process model for pre-dicting workload in an air traffic controller task. In Computational foundationsof cognition: 39th Annual Meeting of the Cognitive Science Society (CogSci2017), volume 1, pages 1224–1229, London, 2017. Curran Associates, Inc.
Martina Truschzinski and Maike Klein. Modeling the Enactive Emotion Theory: Methodological Considerations. Bath, UK, 2017.
Martina Truschzinski, Georg Valtin, and Nicholas H. Müller. Investigating theInfluence of Emotion in Air Traffic Controller Tasks: Pretest Evaluation. In Engineering Psychology and Cognitive Ergonomics: Performance, Emotion and Situation Awareness: 14th International Conference,EPCE 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada,July 9-14, 2017, Proceedings, Part I, pages 220–231. Springer InternationalPublishing, Cham, 2017.
Previous
Martina Truschzinski, Helge Ü. Dinkelbach, Nicholas Müller, Peter Ohler, FredHamker, and Peter Protzel. Deducing human emotions by robots: Computingbasic non-verbal expressions of performed actions during a work task. In 2014 IEEE International Symposium on Intelligent Control (ISIC), pages 1342–1347. IEEE, 2014.
Martina Truschzinski
Passionate Researcher. Investigation and modelling of human emotions and their genesis.
Recent Projects
Finally, a personal matter:
I am currently seeking a Post-Doc Position in affective computing or human-robotic-interaction. For further information or job opportunities contact me:
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