This project examines how people supervise multiple autonomous, AI-enabled systems under changing workload, uncertainty, and information demands. Undergraduate research assistants will primarily support pilot testing, human-subjects data collection, and statistical analysis, with training provided for all relevant methods and tools. Additional opportunities may include study preparation, simulator evaluation, data processing, and literature review. Students who make substantial intellectual or technical contributions may also be eligible for authorship on resulting presentations or publications in accordance with accepted authorship guidelines.