Zeyu Yang
Papers
1
Total Citations
3
H-Index
1
About
Zeyu Yang is a rising researcher in human-computer interaction and natural language processing, with a focus on improving user experience in conversational AI systems. Their key research areas include user frustration detection in task-oriented dialog systems, sentiment analysis, and emotion-aware AI design. Yang’s most notable contribution is the 2024 paper “Stupid robot, I want to speak to a human!” User Frustration Detection in Task-Oriented Dialog Systems, which addresses a critical gap in modern dialog systems: the inability to detect implicit user frustration that often leads to dissatisfaction and disengagement. By shifting focus from academic sentiment detection to real-world conversational nuances, Yang’s work has practical implications for customer service, virtual assistants, and automated support systems. With 3 citations already, this emerging work is gaining traction for its timely relevance. Yang’s research stands out for bridging the gap between technical dialog system design and human emotional needs, offering pathways to more empathetic and responsive AI. Their achievements highlight a commitment to making technology more user-centric, a vital direction as conversational agents become ubiquitous in daily life.
Research Focus
Key Achievements
Top Papers
- 1