Mate Kovacs
Papers
1
Total Citations
2
H-Index
1
About
Mate Kovacs is a researcher whose work sits at the intersection of affective computing, sound design, and human-robot interaction. His primary focus is on how non-linguistic utterances (NLUs)—wordless vocalizations used in media, robotics, and public spaces—can efficiently convey emotional states. In his most cited work, "Modelling emotional valence and arousal of non-linguistic utterances for sound design support" (2022, 2 citations), Kovacs developed a computational model to map the emotional dimensions of these sounds, enabling designers and roboticists to systematically engineer affect without relying on language. This contribution is particularly significant for creating more intuitive and emotionally resonant interactions between humans and machines. While his citation count is still emerging, Kovacs’ work has been recognized for its practical applications in sound design and robotics, offering a scalable framework for embedding emotional intelligence into artificial systems. His research bridges cognitive science and engineering, providing tools that allow non-linguistic sounds to be tailored for specific affective responses—a critical step toward more natural human-robot communication. Kovacs’ ongoing work promises to deepen our understanding of how sound alone can shape emotional experience in interactive technologies.
Research Focus
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Top Papers
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