Alexandra Bendixen
Papers
2
Total Citations
15
H-Index
2
About
Alexandra Bendixen is a pioneering researcher at the intersection of human cognition, virtual reality (VR), and human-robot interaction. Her work primarily investigates how individuals perceive, learn from, and adapt to digital environments, with a special focus on the cognitive processes underlying spatial navigation and sensorimotor integration. Bendixen’s major contributions include demonstrating how VR-based environment learning can enhance subsequent robot teleoperation in unfamiliar settings, a finding with direct implications for remote operations, search-and-rescue, and space exploration. She has also advanced the use of event-related brain potentials (ERPs) as a tool to objectively evaluate motor-auditory latencies in VR, providing a neurophysiological benchmark for user experience and system design. Though early in her career, her most-cited paper (10 citations) on VR learning for teleoperation has already shaped discussions in human factors engineering. Her innovative use of brain-based measures to assess latency perception marks a notable methodological achievement, bridging cognitive neuroscience with applied technology. Bendixen’s work is essential reading for students and researchers interested in how the human brain adapts to—and can be supported by—immersive digital systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2