Katsuya Hyodo

CyberAgent (Japan)

Papers

1

Total Citations

22

H-Index

1

About

Katsuya Hyodo is a pioneering researcher in human-robot interaction, with a focus on how robotic systems can influence consumer behavior through emotionally engaging, rather than purely informational, exchanges. His most cited work, "Playful Recommendation: Sales Promotion That Robots Stimulate Pleasant Feelings Instead of Product Explanation" (2022, 22 citations), challenges conventional approaches to robotic sales by demonstrating that robots can drive purchases by evoking positive emotions and playful interactions, rather than relying on detailed product explanations. This contribution is significant because it shifts the paradigm from utility-driven recommendations to affect-driven engagement, opening new avenues for social robotics in retail and service environments. Hyodo’s research highlights the importance of context-aware, emotionally resonant robot behaviors, and his findings have implications for both the design of autonomous sales agents and the broader understanding of human-robot trust. With a growing citation footprint, his work is increasingly recognized as foundational for the next generation of persuasive and socially adept robots.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Playful Recommendation: Sales Promotion That Robots Stimulate Pleasant Feelings Instead of Product Explanation
22 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: CyberAgent (Japan)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago