Katharina Lingelbach
Katharina Lingelbach
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Neuro-adaptive tutoring systems - Neurophysiological-based recognition of affective-emotional and cognitive states of learners for intelligent neuro-adaptive tutoring systems
Monitoring learners’ mental states via a passive Brain-Computer Interface (BCI) allows to continuously estimate current abilities, …
Katharina Lingelbach
,
Sabrina Gado
,
Wilhelm Bauer
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Slides
DOI
Temporal Decoding of Emotion and Workload from Fixation-Related EEG Recordings
Electroencephalographic (EEG) recordings allow to capture temporal activation patterns associated with the current level of workload or …
M.Sc. Katharina Lingelbach
,
Daniela Piechnik
,
Anne-Marie Brouwer
,
Ivo Stuldreher
,
Mathias Vukelic
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Poster
Video
Feinfühlige Technik: Wie Neuroergonomie und Brain-Computer-Interfaces in der Praxis eingesetzt werden können
Die Studie zeigt auf, welche neuen Perspektiven und Potenziale sich durch neuroergonomische Methoden für die Gestaltung von …
Mathias Vukelic
,
M.Sc. Katharina Lingelbach
,
Daniela Piechnik
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Combining eye tracking and physiology for detection of emotion and workload
Peripheral physiological measures such as electrodermal activity (EDA), heart rate and pupil dilation, as well as neurophysiological …
Anna-Marie Brouwer
,
Ivo Stuldreher
,
Silvana Pene Huertas
,
M.Sc. Katharina Lingelbach
,
Mathias Vukelic
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Poster
Video
DOI
Cognition and Affect - Let's try to disentangle them!
The central research question of my doctoral thesis and reason for sleepless nights is how cognitive processes and emotional distractions interact with each other. How are these processes entangled? Which control mechanisms are triggered? Does the valence of the emotional distraction play a fundamental role? And is there a further interaction with the level of task difficulty or workload level? Which neuronal activation patterns underly these processes? I accept the major challenge of this research question and its complexity and act as Sherlock Holmes…First insights from an EEG Pilot Study!
Video
Our Brain in the Car - Driver State Decoding with Magnetecephalography (MEG)
In one of my PhD projects, I am investigating neuronal activation patterns during simulated driving with Magnetencephalography. I am interested in understanding and decoding cognitive processes during driving with different task difficulties (easy highway road and visually and attentionally more challenging construction work) and concurrent auditory emotional distraction of different valence (negative, neutral, and positive).
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