Kyriaki Vasilaki

Papers

Total Citations

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About

Kyriaki Vasilaki’s research lies at the intersection of human-robot interaction, multimodal communication, and cognitive modelling, with a focus on how robots can interpret and generate natural, context-aware social signals. Her most cited work, “Multimodal Resources for Human-Robot Communication Modelling” (2016), lays foundational groundwork for integrating speech, gesture, and gaze into a unified framework that enables robots to engage in more fluid, human-like dialogue. By systematically cataloguing the multimodal cues humans rely on during interaction, Vasilaki provides a critical resource for designing robots that can perceive and respond to subtle communicative behaviors—a key step toward making automation truly collaborative. While her citation count is still growing, this paper has been cited in subsequent studies on social robotics and affective computing, reflecting its early influence in shaping how researchers approach the complexity of real-world human-robot communication. Vasilaki’s work is particularly valuable for students and engineers seeking to move beyond simple command-and-control interfaces toward richer, more adaptive robotic systems. Her contributions underscore the importance of bridging computational models with empirical insights from linguistics and psychology, marking her as a thoughtful voice in the ongoing effort to build machines that understand us.