Qixuan Jin
Papers
1
Total Citations
4
H-Index
1
About
Qixuan Jin is a rising researcher in human-robot interaction (HRI), with a focus on the critical role of transparency in shaping collaborative dynamics. Their most-cited work, "How Transparency Shapes the Quality of Human-Robot Interaction: An Examination of Trust, Perception, and Workload" (2025), examines how the clarity of a robot’s decision-making processes influences human trust, cognitive workload, and overall interaction quality. This research provides foundational insights for designing more intuitive and trustworthy autonomous systems, particularly in high-stakes environments like healthcare or manufacturing. Though early in their career, Jin’s work has already garnered attention, with the paper accumulating 4 citations—a strong start for a recent publication. Their contributions bridge theoretical frameworks of human perception with practical robotics design, offering actionable guidelines for engineers and HRI practitioners. Jin’s scholarship is particularly notable for its interdisciplinary approach, integrating psychology, computer science, and engineering to address real-world challenges in human-robot collaboration. As the field of HRI evolves, Jin’s emphasis on transparency promises to influence how robots are integrated into daily life, making interactions safer and more effective.
Research Focus
Key Achievements
Top Papers
- 1