Liliya Tsvetanova
Papers
1
Total Citations
7
H-Index
1
About
Liliya Tsvetanova is a researcher at the intersection of human-robot interaction (HRI) and ecological dynamics, with a focus on developing intuitive, multimodal communication systems for assistive robotics. Her most cited work, "HRI in an ecological dynamic experiment: The GEE corpus based approach for the Emox robot" (2015), introduces a novel methodology that leverages a Wizard of Oz experimental setup—modeled after an IQ game—to collect spontaneous and imitative gestural data. This approach led to the creation of the GEE corpus, a foundational resource for training gesture recognition systems in smart home environments. By prioritizing ecological validity, Tsvetanova’s research bridges the gap between controlled lab studies and real-world robotic applications, advancing how butler robots interpret human intent. Her work has garnered attention in the HRI community, with the GEE corpus serving as a benchmark for gesture-based interaction studies. Tsvetanova’s contributions are particularly notable for their emphasis on naturalistic data collection, offering a replicable framework that continues to inform the design of socially aware robots.
Research Focus
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Top Papers
- 1