Katrin D. Bartl-Pokorny
Papers
3
Total Citations
31
H-Index
2
About
Katrin D. Bartl-Pokorny is a leading researcher at the intersection of affective computing, autism spectrum disorder (ASD), and socially assistive robotics. Her work focuses on developing and evaluating automatic speech emotion recognition (SER) systems tailored for children with autism, a population that often expresses emotions in non-typical ways. Her most cited paper (2022, 21 citations) critically assesses how voice activity detection impacts SER accuracy in this group, highlighting the unique challenges of capturing genuine affective states from vocalizations. In a subsequent study (2024, 8 citations), she explores the methodological complexities of multi-modal emotion observation during child-robot interaction, specifically with the social robot Kaspar. Her research within the European Commission’s EMBOA project (2022) further demonstrates the practical application of SER in real-world intervention sessions. By systematically addressing the technical and ethical hurdles of affect recognition in non-neurotypical populations, Bartl-Pokorny’s work directly informs the design of more responsive, empathetic robotic tools for autism therapy. Her contributions are pivotal for advancing robot-enhanced interventions that can adapt to the unique emotional expressions of children with ASD.
Research Focus
Key Achievements
Top Papers
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