Xun Qian

Purdue University West Lafayette

Papers

3

Total Citations

172

H-Index

3

About

Xun Qian is a leading researcher in human-computer interaction, specializing in augmented reality (AR) authoring systems and human-robot collaboration. His work focuses on democratizing the creation of interactive AR experiences and making robot programming accessible to non-experts through intuitive, embodied interfaces. Qian’s most impactful contribution is **GesturAR**, an end-to-end authoring tool that enables end-users to create freehand gesture-based AR applications without coding, garnering 74 citations. He also developed **GhostAR**, a time-space editor for authoring human-robot collaborative tasks through demonstrative role-playing in AR, cited 68 times. Additionally, his work on **Vipo** explores visual programming in spatial contexts to allow manufacturing workers to program mobile robots and IoT devices. With over 170 combined citations, Qian’s innovations lower the barrier for creating sophisticated AR interactions and programming robots, directly impacting fields like manufacturing, education, and interactive design. His research has been recognized at top venues like UIST and CHI, establishing him as a key figure in making advanced technologies more accessible and intuitive.

Research Focus

Key Achievements

3
H-Index
3
Papers
172
Total Citations
57
Avg Citations/Paper
🏆 Most Cited Paper
GesturAR: An Authoring System for Creating Freehand Interactive Augmented Reality Applications
74 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Purdue University West Lafayette

Top Papers

  1. 1
  2. 2
  3. 3
    Vipo
    30 citations · 2020

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago