Na Du

University of Pittsburgh

Papers

1

Total Citations

4

H-Index

1

About

Na Du is a human-robot interaction researcher whose work centers on assistive robotics, user-centered design, and the intersection of automation and human agency. Her most cited paper, "More Than Automation: User Insights into the Functionality and Interface of Wheelchair-Mounted Robotic Arms" (2025, 4 citations), exemplifies her approach: rather than simply advancing automation, she investigates how users envision collaborating with assistive technologies. By exploring the nuanced expectations of individuals with mobility impairments, Du reveals that effective human-robot collaboration requires more than technical sophistication—it demands interfaces that respect user control, trust, and situational awareness. Her research challenges the assumption that full automation is always desirable, advocating instead for designs that balance autonomy with user input. Though early in her career, Du’s work has already shaped discussions in assistive robotics and human-robot teaming. Her contributions are particularly notable for centering the voices of end-users, ensuring that technological development aligns with real-world needs. As a rising scholar, Na Du is helping to define a more inclusive, human-aware future for robotic assistance.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
More Than Automation: User Insights into the Functionality and Interface of Wheelchair-Mounted Robotic Arms
4 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Pittsburgh

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago