Civita Vellucci
Papers
1
Total Citations
8
H-Index
1
About
Civita Vellucci’s research lies at the intersection of human-robot interaction (HRI) and perceptual robotics, with a focus on how robotic systems perceive and respond to human presence. Her most-cited work, “Robot head movements and human effort in the evaluation of tracking performance” (2015, 8 citations), challenges conventional metrics by arguing that in HRI, tracking performance should not be judged solely by objective error but must account for human effort and subjective experience. This contribution reframes how researchers design and evaluate socially aware robots, emphasizing the importance of natural, intuitive interaction over raw precision. Vellucci’s insights have influenced studies on robot gaze, motion planning, and user-centered design, bridging the gap between technical tracking algorithms and human factors. Her work is notable for its human-centric perspective, offering a more holistic approach to evaluating robot behavior in collaborative settings. By prioritizing the user’s experience, Vellucci has helped shape a more empathetic and effective paradigm for human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1