Papers

3

Total Citations

12

H-Index

2

About

Zijian Hu is a researcher focused on human-robot interaction, with a particular emphasis on enhancing the nonverbal communication capabilities of telepresence and socially assistive robots. His work addresses critical gaps in how robots facilitate natural, expressive interactions between remote users and their environments. Hu’s major contributions include the design and evaluation of novel hardware for expressive turn-taking in telepresence robots, enabling more fluid conversational dynamics. He has also explored user interface tradeoffs for remote deictic gesturing, improving how operators can effectively point and reference objects from a distance. In a notable study on robot mediation of support groups, Hu investigated trust dynamics, demonstrating how socially assistive robots can positively influence group interactions in sensitive contexts. While his most-cited papers have garnered modest citation counts (5 citations each for his turn-taking and gesturing work), his research is pioneering in its focus on the nuanced, human-centered design of robotic systems. Hu’s work is particularly relevant for students and researchers interested in the intersection of robotics, communication design, and social psychology, offering practical insights into building more empathetic and effective robotic intermediaries.

Research Focus

Key Achievements

2
H-Index
3
Papers
12
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Design and Evaluation of Expressive Turn-Taking Hardware for a Telepresence Robot
5 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Southern California, Southern States University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago