Cheng Yao Wang

Stanford University

Papers

1

Total Citations

59

H-Index

1

About

Cheng Yao Wang is a leading researcher in human-drone interaction and gestural user interfaces, whose work bridges the gap between autonomous systems and intuitive human control. Her most influential contribution, "Drone.io: A Gestural and Visual Interface for Human-Drone Interaction" (2019), has garnered 59 citations and introduced a groundbreaking projected body-centric graphical interface that allows users to command drones through simple, natural gestures. This work fundamentally reimagines how drones can operate in social contexts—moving beyond remote controls to enable seamless, hands-free interaction for tasks like aerial photography and collaborative assistance. Wang’s research addresses the critical challenge of making drones accessible and responsive in everyday environments, emphasizing visual feedback and minimal learning curves. Her innovative approach has positioned her at the forefront of human-robot interaction, with implications for assistive technology, entertainment, and public safety. By prioritizing user experience and social acceptability, Wang has helped shape a future where drones are not just tools but interactive partners, earning recognition for her contributions to both the technical and human-centered dimensions of autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
59
Total Citations
59
Avg Citations/Paper
🏆 Most Cited Paper
Drone.io: A Gestural and Visual Interface for Human-Drone Interaction
59 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Stanford University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago