Papers

4

Total Citations

10

H-Index

2

About

Emi Anzai is a pioneering researcher in human-robot interaction, specializing in the cultural and emotional dimensions of robotics. Her work centers on how subtle, non-verbal robot behaviors—particularly head-tilting motions and hand gestures—can evoke the Japanese concept of *kawaii* (cute/adorable) in human observers, a feeling that enhances trust, engagement, and social bonding. Anzai’s most cited paper (5 citations, 2024) demonstrates that using multiple robots to describe objects is more effective than a single robot in attracting and informing customers, a finding with direct applications in service robotics and retail. Her subsequent studies (3 citations, 2024) systematically analyze how speed, direction, and accompanying gestures amplify *kawaii* perceptions, providing design guidelines for more endearing robots. A provocative 2025 paper (1 citation) reveals that people do not become more cautious after being deceived by a robot, raising critical questions about trust calibration and interaction literacy. Anzai’s work bridges robotics, psychology, and Japanese aesthetics, offering practical insights for creating socially adept robots that feel genuinely warm and trustworthy.

Research Focus

Key Achievements

2
H-Index
4
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Two is better than one: descriptions by multiple robots strengthen the feeling of kawaii toward objects
5 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Advanced Telecommunications Research Institute International, Nara Women's University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago