Xiaoyi Tian

University of Pittsburgh

Papers

1

Total Citations

4

H-Index

1

About

Xiaoyi Tian is a researcher in human-robot interaction, with a focus on social robotics and educational technology. Her work explores how robots can build and maintain rapport with humans over multiple interactions, particularly in learning contexts. Her most-cited paper, "Understanding Rapport over Multiple Sessions with a Social, Teachable Robot" (2020), examines the dynamics of human-robot relationships as they develop over time, highlighting the importance of sustained social engagement in teachable robot systems. This study contributes to the design of robots that can effectively support long-term learning and companionship, addressing key challenges in creating socially aware autonomous agents. While her citation count is still growing, Tian’s research is foundational for advancing the field of social robotics, offering insights into how robots can become more intuitive and responsive partners in educational settings. Her work is particularly relevant for researchers developing interactive systems that require adaptive, relationship-building capabilities.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Understanding Rapport over Multiple Sessions with a Social, Teachable Robot
4 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Pittsburgh

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago