Giuseppina Russo
Papers
1
Total Citations
7
H-Index
1
About
Giuseppina Russo is a researcher at the forefront of human-robot interaction, specializing in how robots can communicate more intuitively with people through sound and movement. Her work focuses on making service robots more legible and socially acceptable in shared environments, particularly by leveraging familiar acoustic cues—such as everyday sounds—to signal a robot’s intent and coordinate with human behavior. In her most cited paper, “Familiar Acoustic Cues for Legible Service Robots” (2022, 7 citations), Russo demonstrated through an online video study that using recognizable auditory signals can significantly reduce user dissatisfaction and improve acceptance of robots navigating crowded spaces. This contribution is foundational for designing robots that are not only functional but also socially fluent. Though early in her career, Russo’s research is already shaping how roboticists think about non-verbal communication, bridging the gap between technical efficiency and human-centered design. Her work is especially relevant for students and researchers interested in social robotics, auditory interfaces, and the subtle dynamics of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1Familiar Acoustic Cues for Legible Service Robots7 citations · 2022