Ji Hoon Han

Johns Hopkins University

Papers

1

Total Citations

6

H-Index

1

About

Ji Hoon Han is a researcher at the forefront of human-robot interaction, specializing in how people and machines can communicate more intuitively and effectively. His work centers on the design of interaction conventions—shared, predictable patterns of behavior that make robotic systems more accessible and cooperative. In his most-cited paper, "Structuring Human-Robot Interactions via Interaction Conventions" (2020), Han argues that just as pinch-to-zoom gestures standardize user control on touchscreens, carefully designed conventions can bridge the gap between human intent and robotic response. This foundational insight has shaped how researchers think about trust, predictability, and usability in collaborative robotics. With over 6 citations, the paper has influenced subsequent work on social robotics and human-robot teaming. Han’s contributions are especially valuable for students and engineers seeking to move beyond ad-hoc control schemes toward structured, user-centered interaction frameworks. His research continues to explore how conventions can reduce cognitive load and improve safety in real-world robotic applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Structuring Human-Robot Interactions via Interaction Conventions
6 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago