2 citations · 3 across the 5 of their papers we have counts for
5 papers
User Experience in Human-Machine Interaction: Insights from Field Studies in Autonomous Mobility
Helen Schneider, Svetlana Pavlitska, J. Marius Zöllner
Autonomous vehicles (AVs) promise safer, cleaner, and more inclusive mobility, yet large-scale adoption is hindered by user acceptance rather than by technical challenges. Prior st…
Datasets for Valence and Arousal Inference: A Survey
Helen Schneider, Svetlana Pavlitska, Helen Gremmelmaier +1
Understanding human affect can be used in robotics, marketing, education, human-computer interaction, healthcare, entertainment, autonomous driving, and psychology to enhance decis…
DEAP DIVE: Dataset Investigation with Vision transformers for EEG evaluation
Annemarie Hoffsommer, Helen Schneider, Svetlana Pavlitska +1
Accurately predicting emotions from brain signals has the potential to achieve goals such as improving mental health, human-computer interaction, and affective computing. Emotion p…
CAGE: Circumplex Affect Guided Expression Inference
Niklas Wagner, Felix Mätzler, Samed R. Vossberg +3
Understanding emotions and expressions is a task of interest across multiple disciplines, especially for improving user experiences. Contrary to the common perception, it has been…
One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level
Sven Ochs, Jens Doll, Daniel Grimm +15
Most automated driving functions are designed for a specific task or vehicle. Most often, the underlying architecture is fixed to specific algorithms to increase performance. There…