Xiaoxiao Hu

Old Dominion University

Papers

1

Total Citations

4

H-Index

1

About

Xiaoxiao Hu is a researcher whose work bridges human-robot interaction, cross-cultural psychology, and trust in autonomous systems. Her most cited study, "Cross-cultural trust of robot peacekeepers as a function of dialog, appearance, responsibilities, and onboard weapons" (2020), explores how cultural context shapes human trust in robots deployed for peacekeeping missions. This research examines critical factors such as robot dialog style, physical appearance, assigned responsibilities, and the presence of onboard weapons, offering nuanced insights into designing socially acceptable autonomous agents for sensitive, high-stakes environments. While her citation count is still building, Hu’s work is notable for its timely focus on the intersection of technology and culture—a growing priority as robots become more integrated into public safety and international operations. Her contributions are particularly valuable for students and researchers interested in ethical AI, human-robot trust, and the global implications of autonomous systems. By highlighting how trust varies across cultural groups, Hu provides a foundation for more inclusive and effective robot design.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Cross-cultural trust of robot peacekeepers as a function of dialog, appearance, responsibilities, and onboard weapons
4 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Old Dominion University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago