Julie N. Salcedo
University of Central Florida, Design Interactive (United States)
Papers
4
Total Citations
15
H-Index
3
About
Julie N. Salcedo’s research sits at the critical intersection of human-robot teamwork, military training, and simulation-based instruction. Her work primarily explores how autonomous and remotely-operated unmanned systems affect trust and collaboration in human-robot teams, and how instructional strategies can optimize training for complex tasks like Intelligence, Surveillance, and Reconnaissance (ISR) and behavior cue analysis. Salcedo’s major contributions include demonstrating that the mode of unmanned system control—autonomous versus remote—directly impacts team dynamics and operator trust, and that tailored instructional strategies significantly boost motivation, engagement, and flow while reducing workload and stress in simulated environments. Her studies on simulation-based training for robot-aided ISR tasks and behavior cue analysis have provided foundational insights for the U.S. Army’s growing reliance on Unmanned Ground Systems. Though her citation counts are modest (3–4 per paper), her work is notable for addressing real-world military needs during a pivotal period of unmanned system expansion. Salcedo’s research remains valuable for practitioners designing effective, human-centered training for next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
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