Christopher C. Corral
Papers
2
Total Citations
51
H-Index
2
About
Christopher C. Corral is a leading researcher in Human–Robot Teaming (HRT) and Human–AI–Robot Teaming (HART), with a focus on optimizing communication and collaboration between humans and autonomous systems. His most cited work, “Towards Human–Robot Teaming: Tradeoffs of Explanation-Based Communication Strategies in a Virtual Search and Rescue Task” (2021, 35 citations), investigates how different explanation styles from robots impact team performance and trust in high-stakes environments, offering critical insights for designing more intuitive human-robot interactions. Corral also made a significant methodological contribution during the COVID-19 pandemic with “Remote research methods for Human–AI–Robot Teaming” (2021, 16 citations), which systematically addresses challenges such as participant engagement and data fidelity in remote studies, providing a practical framework for conducting HART research outside traditional labs. His work is foundational for advancing effective, real-world human-robot collaboration in domains like search and rescue, defense, and healthcare.
Research Focus
Key Achievements
Top Papers
- 1
- 2Remote research methods for Human–AI–Robot Teaming16 citations · 2021