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

3
H-Index
3
Papers
31
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Remote research methods for Human–AI–Robot Teaming
16 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: United States Department of the Army, DEVCOM Army Research Laboratory

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago