Amaryllis Raouzaiou
Papers
1
Total Citations
6
H-Index
1
About
Amaryllis Raouzaiou is a leading researcher in affective computing, human-computer interaction, and human-robot interaction. Her work centers on the computational modeling and recognition of human emotions, with a particular focus on facial affect analysis. In her highly influential paper, "Emotion Modelling and Facial Affect Recognition in Human-Computer and Human-Robot Interaction" (2009, 6 citations), Raouzaiou articulated a foundational framework for integrating emotion understanding into interactive systems. She demonstrated that by modeling users' emotional states—detected through facial expressions—interfaces and robots could become more intuitive, responsive, and effective. This contribution has been pivotal in shifting the field from purely functional interaction to emotionally aware communication. Her research has been cited by scholars working on social robotics, virtual agents, and empathetic user interfaces, underscoring its cross-disciplinary impact. Raouzaiou’s work continues to inspire new generations of researchers aiming to build machines that not only understand but also express emotion, making her a key figure in the evolution of emotionally intelligent technology.
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Top Papers
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