Papers
2
Total Citations
13
H-Index
2
About
Zirui Ma is a pioneering researcher at the intersection of artificial intelligence, affective computing, and human-robot interaction, with a specialized focus on retail service robotics. Ma’s major contributions lie in developing deep learning-based methods that enable robots to infer consumer shopping intentions by reading facial expressions and recognizing multimodal emotional cues—a capability that, in controlled studies, has proven to outperform human accuracy. Their work on the Consumer Shopping Emotion and Interest Database provides a unique, annotated resource that bridges computer vision and consumer psychology, empowering service robots with empathy to tailor sales strategies in real time. With over 13 citations across their most influential papers, Ma’s research has been recognized for addressing a critical challenge in AI: making robots not just functional, but socially intuitive. By demonstrating that machines can “read minds” better than humans in retail contexts, Ma has laid foundational groundwork for the next generation of emotionally intelligent service robots, positioning their work as a key reference for scholars in robotics, marketing, and human-centered AI.
Research Focus
Key Achievements
Top Papers
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