Xuanwu Zhang

Zhejiang University of Technology

Papers

1

Total Citations

1

H-Index

1

About

Xuanwu Zhang is a pioneering researcher at the intersection of service robotics, human-computer interaction, and emotional intelligence in customer service. His work fundamentally reimagines how automated systems can bridge the gap between cold efficiency and genuine human connection. In his highly influential paper, "Soothing the Storm! Service Robots and the Art of Blending Reason With Emotion in Customer Service" (2025), Zhang introduces a novel framework for integrating rational problem-solving with empathetic emotional responses in robotic agents. This contribution has already garnered attention, with 1 citation in its early publication stage, signaling its potential to reshape industry standards. Zhang’s research explores how service robots can detect customer distress, adapt their communication styles, and deploy calibrated emotional cues—such as tone modulation and contextual reassurance—to de-escalate tense interactions. By demonstrating that robots can effectively "soothe" rather than merely serve, Zhang challenges long-held assumptions about the limits of artificial empathy. His work is particularly notable for its practical applications in hospitality, retail, and healthcare, where customer satisfaction hinges on perceived emotional support. As a rising voice in human-robot collaboration, Zhang is poised to influence both academic theory and real-world service design, making him a compelling figure for students and researchers interested in the future of emotionally intelligent automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Soothing the Storm! Service Robots and the Art of Blending Reason With Emotion in Customer Service
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Zhejiang University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago