Dimitra Gkatzia
Papers
4
Total Citations
17
H-Index
3
About
Dimitra Gkatzia is a leading researcher at the intersection of Natural Language Generation (NLG) and Human-Robot Interaction (HRI), focusing on making conversational AI more robust, context-aware, and socially intelligent. Her work tackles the critical challenge of enabling robots to communicate naturally with humans, even when faced with limited data or conversational breakdowns. A key contribution is her development of frameworks like **ChefBot**, which enhances task-based dialogue systems by integrating commonsense reasoning, allowing robots to generate more relevant and engaging responses beyond simple slot-filling. Gkatzia has also pioneered methods for **learning from limited datasets** in NLG and HRI, addressing the high cost and labor intensity of collecting large training corpora. She is a central figure in understanding **miscommunication in human-robot dialogue**, co-organizing a seminal workshop that brought together technologists and social scientists to study failures in conversation. Her work on **active learning strategies for concept acquisition** in social robotics demonstrates her commitment to building robots that can efficiently learn about their environment through interaction. With papers cited across the fields of dialogue systems, robotics, and AI, Gkatzia’s research is shaping the future of more resilient, intelligent, and human-like conversational agents.
Research Focus
Key Achievements
Top Papers
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