Yushi Xu
Papers
1
Total Citations
2
H-Index
1
About
Yushi Xu is a researcher in human-computer interaction and conversational AI, with a focus on designing systems that facilitate natural, multiparty dialogue. Their most-cited work, "Multiparty Conversation Facilitation Strategy Using Combination of Question Answering and Spontaneous Utterances" (2011), introduces a novel approach to supporting group discussions by integrating question-answering capabilities with spontaneous, context-aware utterances. This contribution addresses the challenge of maintaining engagement and coherence in conversations involving multiple participants, a critical area for applications in virtual assistants, collaborative tools, and social robotics. While the paper has garnered 2 citations, it represents an early exploration into adaptive dialogue strategies that anticipate later advances in conversational agents. Xu’s research bridges computational linguistics and user experience, offering insights into how machines can proactively facilitate human interaction rather than merely respond to commands. Their work underscores the importance of balancing structured information retrieval with the fluidity of natural conversation, laying groundwork for more intuitive and socially aware AI systems.
Research Focus
Key Achievements
Top Papers
- 1