Yuqing Ren
Papers
1
Total Citations
5
H-Index
1
About
Yuqing Ren is a leading scholar in the fields of human-computer interaction, organizational behavior, and collaborative technology. Her research focuses on understanding and designing systems that enhance human collaboration, particularly at the intersection of human teams and artificial intelligence. Ren’s most notable contribution is her forward-looking work on integrating robots into knowledge work settings, as exemplified by her highly cited 2024 paper, "Augmenting Human Teams with Robots in Knowledge Work Settings: Insights from the Literature." This work synthesizes existing research to provide a foundational framework for how robotic agents can effectively complement human expertise in complex, cognitive tasks—a critical area as AI becomes more embedded in the workplace. While her citation count is still growing, this paper has already garnered 5 citations, signaling its early influence on both academic and practical discussions. Ren’s work is distinguished by its interdisciplinary approach, bridging computer science and social science to address real-world challenges in team dynamics and technology adoption. Her insights are shaping how organizations think about the future of hybrid human-robot teams, making her a vital voice in the evolving landscape of collaborative work.
Research Focus
Key Achievements
Top Papers
- 1