Tugce Numanoglu
Papers
1
Total Citations
4
H-Index
1
About
Tugce Numanoglu is a researcher at the forefront of human-robot interaction (HRI), with a primary focus on understanding and measuring human engagement in collaborative robotic settings. Her most notable contribution is the development of the eHRI database, a pioneering multimodal resource that captures rich behavioral and physiological data during human-robot interactions. This database, introduced in her 2023 paper, provides a standardized benchmark for studying engagement—a critical factor in designing robots that can adapt to and respond to human social cues. With 4 citations already, the eHRI database is gaining traction as a foundational tool for researchers exploring how robots can interpret and sustain human attention in real-world contexts. Numanoglu’s work bridges the gap between technical robotics and social science, offering empirical insights that inform the design of more intuitive, responsive robots. Her contributions are particularly valuable for students and researchers in affective computing, social robotics, and multimodal interaction analysis, as she provides both a theoretical framework and a practical dataset for advancing engagement-aware systems.
Research Focus
Key Achievements
Top Papers
- 1