Yuji Miyazaki
Saitama University, Tokyo University of Information Sciences
Papers
2
Total Citations
12
H-Index
2
About
Yuji Miyazaki is a pioneering researcher in human-robot interaction, specializing in the design of socially perceptive service robots that enhance customer engagement in retail environments. His work addresses a critical challenge: robots are often ignored by customers due to their low social presence, limiting their effectiveness in sales and service roles. In his highly cited 2022 study (7 citations), Miyazaki demonstrated that enabling a sales robot to share attention with customers—by mimicking human-like gaze and joint focus—significantly boosts its perceived social presence and interaction quality. Building on this, his 2024 work (5 citations) introduced the "Perceptive Recommendation Robot," which analyzes customers’ nonverbal cues—such as posture and facial expressions—to tailor product suggestions, thereby increasing receptivity to recommendations. These contributions have laid the groundwork for more intuitive, human-aware robotic assistants in physical shops. Miyazaki’s research is notable for bridging social psychology and robotics, offering practical strategies to make robots less intrusive and more persuasive. His findings are shaping the next generation of customer service automation, with implications for retail, hospitality, and beyond.
Research Focus
Key Achievements
Top Papers
- 1
- 2