Shoudai Suzuki
Papers
1
Total Citations
5
H-Index
1
About
Shoudai Suzuki investigates the intersection of human-robot interaction and affective computing, focusing on how virtual agents can deliver personalized, emotionally responsive services. His most-cited work, "Multi-user Robot Impression with a Virtual Agent and Features Modification According to Real-time Emotion from Physiological Signals" (2020, 5 citations), tackles the challenge of making partner robots more accessible and cost-effective. Suzuki proposes a multi-user robot system that employs a virtual agent, dynamically modifying its features based on users’ real-time emotional states captured through physiological signals. This contribution addresses a critical gap: enabling a single robot platform to serve multiple users with tailored interactions, thereby reducing costs while maintaining personalization. By integrating emotion recognition into adaptive agent behavior, his research advances the practicality of companion robots in everyday settings. Though early in his career, Suzuki’s work signals a promising direction for scalable, empathetic human-robot systems, with implications for assistive technology and social robotics.
Research Focus
Key Achievements
Top Papers
- 1