Aylin Civan
Papers
1
Total Citations
3
H-Index
1
About
Aylin Civan’s research lies at the intersection of human-robot interaction, spatial cognition, and simulation-based training, with a focus on how visual displays affect operator performance. Her most cited work, “Effectiveness of 2-D Views for 6-D Robotics Simulation Maneuvers” (2003, 3 citations), investigates the challenges of controlling a six-degree-of-freedom robot arm using only a single two-dimensional view. Using NASA’s BORIS simulator—a platform developed for Generic Robotics Training—Civan designed four “fly-to” tasks to compare operator performance under varying view conditions. This study provided early empirical evidence on the cognitive load and spatial reasoning demands of teleoperation, highlighting the limitations of 2-D displays for complex robotic maneuvers. While her citation count is modest, her work contributes foundational insights to the design of more intuitive human-robot interfaces, particularly in aerospace and remote manipulation contexts. Civan’s research underscores the critical role of perceptual feedback in robotic control, offering practical implications for training simulators and user interface design in high-stakes environments.
Research Focus
Key Achievements
Top Papers
- 1Effectiveness of 2-D Views for 6-D Robotics Simulation Maneuvers3 citations · 2003