Mario Turco
Papers
1
Total Citations
7
H-Index
1
About
Mario Turco is a researcher in human-robot interaction, with a focus on how robots can communicate more naturally and intuitively with people in shared spaces. His work centers on the use of non-verbal cues—particularly acoustic signals—to improve coordination and social acceptance of service robots. In his most-cited paper, "Familiar Acoustic Cues for Legible Service Robots" (2022, 7 citations), Turco demonstrates how everyday sounds, such as those resembling human or environmental signals, can make robot intentions more legible to bystanders. Through an online video study, he shows that familiar acoustic cues reduce user dissatisfaction and increase trust during navigation tasks. This contribution is notable for bridging the gap between robotic functionality and human social expectations, offering a low-cost, scalable method to enhance robot transparency. Turco’s work is particularly relevant for the design of robots in public settings like hospitals, airports, or offices, where seamless human-robot coordination is critical. His research continues to inform how robots can be more considerate and understandable partners in daily life.
Research Focus
Key Achievements
Top Papers
- 1Familiar Acoustic Cues for Legible Service Robots7 citations · 2022