Crystal Maraj
Papers
3
Total Citations
9
H-Index
2
About
Crystal Maraj is a researcher at the forefront of human-robot interaction and simulation-based training, with a focus on optimizing operator performance in complex, high-stakes environments. Her work bridges cognitive science and robotics, particularly in military and defense applications. Maraj’s early research explored how instructional strategies impact motivation, engagement, workload, and stress during simulation-based training for tasks like robot-aided Intelligence, Surveillance, and Reconnaissance (ISR) and behavior cue analysis. These studies, though early in citation impact, laid foundational insights for designing effective training protocols for Unmanned Ground Systems (UGS) operators. More recently, Maraj has advanced into augmented reality (AR) interfaces, evaluating their effectiveness for controlling quadrupedal robots—a cutting-edge area with direct implications for field operations. Her work demonstrates a sustained commitment to enhancing human-robot teaming through evidence-based design, addressing critical challenges in operator workload and situational awareness. While her citation counts are still growing, Maraj’s contributions are timely and practical, directly supporting the U.S. Army’s push to expand UGS capabilities. For students and researchers, her trajectory offers a compelling model of how applied cognitive research can shape the future of autonomous systems and human performance.
Research Focus
Key Achievements
Top Papers
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