David Henderickx
Papers
2
Total Citations
22
H-Index
2
About
David Henderickx is a researcher whose work sits at the intersection of affective computing and human-robot interaction, with a particular focus on how robots can meaningfully engage with children. His most influential contribution is the development of the EMOGIB database—the Emotional Gibberish Speech Database for Affective Human-Robot Interaction (2011, 16 citations). This novel resource uses non-lexical, prosody-driven speech to study how emotional intent can be conveyed purely through vocal tone, bypassing language barriers and simplifying experimental design. Henderickx’s work on voice modification for Wizard-of-Oz experiments in robot-child interaction (2013, 6 citations) further demonstrates his commitment to creating ecologically valid, child-friendly paradigms. By adapting robotic voices to better suit young users, he has helped pave the way for more natural and less intimidating human-robot dialogues. Though his citation counts are modest, the conceptual foundation he laid—especially around emotional prosody in artificial agents—has proven valuable for researchers designing more intuitive and socially aware robots. His contributions are particularly noted for their methodological rigor in addressing the unique challenges of child-robot interaction.
Research Focus
Key Achievements
Top Papers
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