Eya Chemangui
Papers
1
Total Citations
2
H-Index
1
About
Eya Chemangui is a rising researcher at the forefront of human-robot interaction (HRI), with a specialized focus on multi-modal decision uncertainty detection. Her work addresses a critical gap in robotics: enabling machines to interpret not just what humans say, but how confidently they say it. In her seminal 2024 paper, "Are You Sure? - Multi-Modal Human Decision Uncertainty Detection in Human-Robot Interaction," Chemangui explores how behavioral cues—such as hesitation, gaze shifts, and prosody—reveal a person’s confidence during question-and-answer exchanges. By developing models that detect these subtle signals, she empowers robots to adapt their responses, fostering more natural and trustworthy collaboration. Though early in her career, her work has already garnered attention (2 citations), laying the groundwork for more empathetic AI. Chemangui’s contributions are pivotal for advancing socially aware robots that can monitor and respond to human uncertainty, promising safer and more intuitive interactions in fields from healthcare to autonomous driving. Her research marks a significant step toward machines that truly understand us.
Research Focus
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Top Papers
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