Papers
3
Total Citations
31
H-Index
3
About
Dr. Eric Holder is a pioneering researcher at the intersection of human factors, artificial intelligence, and robotics, with a primary focus on **Human–AI–Robot Teaming (HART)** . His work addresses the critical challenge of how humans, AI agents, and robots can collaborate effectively in high-stakes environments. Holder’s major contributions center on **bi-directional transparency**—the concept that for a team to function, both humans and AI must understand each other’s capabilities and limitations. His 2021 paper on this topic (12 citations) offers a practitioner’s framework for designing transparent systems, a foundational step for trust in autonomous teams. During the COVID-19 pandemic, Holder adapted his research methods, authoring a highly cited 2021 study (16 citations) that identified key challenges and effective strategies for conducting remote HART research, ensuring the field could progress despite physical distancing. Earlier work (2017) for the US Army Research Laboratory explored how soldiers convey intent through natural language to robots, a crucial step toward intuitive human-robot interaction. Holder’s research is not only academically rigorous but also directly applicable to defense and industrial settings, making him a vital voice in shaping the future of collaborative autonomy.
Research Focus
Key Achievements
Top Papers
- 1Remote research methods for Human–AI–Robot Teaming16 citations · 2021
- 2Designing for Bi-Directional Transparency in Human-AI-Robot-Teaming12 citations · 2021
- 3