About

Lixiao Huang is a leading researcher at the intersection of human-autonomy teaming, human-robot interaction (HRI), and the psychology of emotional attachment to technology. Her work is foundational in understanding how trust, transparency, and emotional bonds shape collaboration between humans and artificial intelligence. Huang’s most influential paper, “Distributed Dynamic Team Trust in Human, Artificial Intelligence, and Robot Teaming” (2020), has garnered 61 citations and provides a critical framework for modeling trust in mixed human-AI teams. She further advanced the field with “A Framework for Human-Autonomy Team Research” (31 citations) and “Designing for Bi-Directional Transparency in Human-AI-Robot-Teaming” (12 citations), which offer practical guidance for creating more effective and understandable autonomous systems. Huang also made notable contributions to understanding human emotional attachment to robots, with her 2020 paper “Toward a Generalized Model of Human Emotional Attachment” (26 citations) and her early exploratory work on LEGO robot builders (13 citations). Her research not only addresses theoretical gaps but also has practical implications for robotics education, STEM outreach, and the design of trustworthy AI systems.

Research Focus

Key Achievements

6
H-Index
12
Papers
174
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Distributed dynamic team trust in human, artificial intelligence, and robot teaming
61 citations · 2020
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Arizona State University, North Carolina State University, Duke University, Ocean University of China, California Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago