Alia Fisher
Papers
3
Total Citations
8
H-Index
2
About
Alia Fisher’s research lies at the critical intersection of human-robot interaction, teleoperation, and situation awareness, with a focus on optimizing how humans remotely control unmanned systems. Her work addresses a fundamental challenge: how to maintain operator awareness when the environment is viewed only through a remote feed. In her most cited paper, “Methodologies for Assessing Situation Awareness of Unmanned System Operators” (3 citations), Fisher presents and contrasts two query-based techniques for evaluating operator SA during reconnaissance tasks, highlighting the difficulty of remote perception. Her other influential studies, both titled “The Tradeoff of Frame Rate and Resolution in a Route Clearing Task” (2009, 3 and 2 citations), explore how bandwidth allocation affects performance in military navigation and target detection. By allowing participants to dynamically trade off frame rate and resolution, Fisher demonstrates that operators minimize certain settings to optimize task efficiency, with implications for designing more effective human-robot interfaces. Though her citation counts are modest, Fisher’s contributions are foundational for understanding the perceptual and cognitive constraints of teleoperation, informing the development of unmanned systems that are safer and more intuitive to control.
Research Focus
Key Achievements
Top Papers
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