Vidal Naiara
Papers
1
Total Citations
5
H-Index
1
About
Vidal Naiara is a pioneering researcher at the intersection of human-robot interaction and industrial service robotics, with a focus on enhancing user experience (UX) in production environments. Her work demonstrates how socially adept service robots can transcend traditional production roles by offering ancillary, natural-language support—such as verbal way-finding assistance—to human workers, thereby improving operational efficiency and workplace ergonomics. Her most-cited study, "Evaluating the UX Obtained from a Service Robot That Provides Ancillary Way-Finding Support in an Industrial Environment" (2019), has garnered 5 citations and stands as a foundational contribution to the field, illustrating how robots with social skills can seamlessly integrate into industrial settings to provide on-demand, human-centric services. This research bridges the gap between automation and human factors, offering practical insights for designing robots that communicate naturally and support primary production activities. Naiara’s work is notable for its applied focus, directly influencing the development of more intuitive and user-friendly industrial robots, and her findings continue to shape discussions on the role of social robotics in manufacturing and logistics.
Research Focus
Key Achievements
Top Papers
- 1