Dr. Beau G. Schelble
Principal Investigator
03ARCS Lab — Research Area · Learning
Training.
Effective human-AI teaming begins before deployment. We study how training environments, instructional design, and skill-transfer strategies prepare both humans and AI agents for collaborative performance in operational settings.
- Publications
- 2
- Lab Authors
- 1
Research focus
- Collaborative vs. independent training paradigms for human-AI teams
- Psychological fidelity in simulation-based training
- Skill transfer from training to operational settings
- Intelligent tutoring and adaptive training interventions
- Generative AI-powered simulation environments for future teaming
Methods
Like all ARCS Lab research, this area is mixed-methods: Quantitative Qualitative Computational
How we work03 · Selected Work
Representative publications
HFES, 2024
Empirical Impacts of Independent and Collaborative Training on Task Performance
Flathmann, Schelble (ARCS Lab member), & Galeano
HFES, 2025
Leveraging Generative AI to Create Lightweight Simulations for Far-Future Autonomous Teammates
Flathmann, Ihekweazu, & Schelble (ARCS Lab member)
Publications
2 papers in Training
People
Lab members in this area
ARCS Lab members who have authored publications in Training.