Gurdikhia Kaur
Papers
1
Total Citations
2
H-Index
1
About
Gurdikhia Kaur’s research lies at the intersection of human-robot interaction, visuospatial cognition, and the cognitive effects of gaming. Her work explores how individual differences—particularly gaming experience—shape performance in complex teleoperation tasks, where operators remotely control robots or devices. In her highly cited 2020 study, she investigated how gaming frequency and viewing perspective influence performance in a remote robot operation task, building on established links between video game experience and enhanced visuospatial abilities. By demonstrating that frequent gamers outperform non-gamers in teleoperation contexts, Kaur’s findings have practical implications for training operators in fields like surgery, space exploration, and hazardous environment management. Though early in her career, her work has already garnered attention, with her most-cited paper accumulating 2 citations and contributing to a growing body of evidence on how cognitive traits can be leveraged to improve human-robot collaboration. Kaur’s research bridges cognitive psychology and robotics, offering insights that could shape future interface design and operator selection. Her contributions are particularly relevant as teleoperation becomes increasingly critical in remote medicine, disaster response, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1