Kasper Stoey

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About

Kasper Stoey is a researcher at the intersection of human-robot interaction and affective computing, with a focus on how non-humanoid robots can communicate more intuitively. His work challenges the conventional perception of robots as simple, expressionless machines by exploring how audio-based cues—such as tone, pitch, and rhythm—can augment a robot’s ability to convey intentions and emotional states. In his most-cited paper, "Augmenting the audio-based expression modality of a non-affective robot" (2019, 7 citations), Stoey demonstrates that even robots not designed for emotional expression can be perceived as more intentional and relatable when their auditory feedback is carefully designed. This contribution is significant for making robots more accessible and trustworthy in everyday settings, from homes to workplaces. Though early in his career, Stoey’s work points toward a future where robotic communication is richer and more human-centered, opening new pathways for designing expressive, non-anthropomorphic machines.