Yahui Fu
Papers
2
Total Citations
6
H-Index
2
About
Yahui Fu is a researcher at the forefront of human-robot interaction, specializing in empathetic conversational systems and the social dynamics of autonomous robots. Her work bridges affective computing and robotics, with a focus on enabling robots to not only understand human emotions but respond with contextual and emotional appropriateness. In her highly cited 2023 paper, "Dual variational generative model and auxiliary retrieval for empathetic response generation by conversational robot," Fu introduced a novel framework that combines generative modeling with retrieval mechanisms to enhance empathy in human-robot dialogues—a contribution that has garnered 4 citations and laid groundwork for more emotionally intelligent conversational agents. Her 2025 study, "Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?" (2 citations), extends this inquiry into the tangible impact of robot design on user behavior, offering critical insights for deploying robots in naturalistic settings. Fu’s research is notable for its dual emphasis on algorithmic innovation and real-world application, making her a key voice in developing robots that are both technically sophisticated and socially attuned. Her work continues to shape how we design machines that communicate with empathy.
Research Focus
Key Achievements
Top Papers
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