Papers
1
Total Citations
8
H-Index
1
About
Xinda Wu is a pioneering researcher at the intersection of artificial intelligence, affective computing, and human-robot interaction, with a specific focus on retail service robotics. Their most cited work introduces the Consumer Shopping Emotion and Interest Database, a groundbreaking multimodal resource that enables service robots to recognize consumer emotions and infer shopping intentions with greater accuracy than humans. By integrating visual, auditory, and physiological data, Wu’s research empowers robots with empathy, allowing them to understand shifts in shopping interest and adapt sales strategies in real time. This contribution, which has garnered 8 citations, addresses a critical challenge in AI-driven retail: bridging the gap between human emotional nuance and machine interpretation. Wu’s work not only advances the field of social robotics but also holds transformative potential for personalized customer experiences in commercial settings. Their research stands out for its practical application, offering a robust framework for developing emotionally intelligent robots that can outperform human sales associates in reading consumer intent. As a rising voice in affective AI, Xinda Wu is shaping the future of empathetic, autonomous retail systems.
Research Focus
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Top Papers
- 1