Masaki Zenkoyoh
Papers
1
Total Citations
6
H-Index
1
About
Masaki Zenkoyoh is a researcher whose work lies at the compelling intersection of human emotion, cognition, and artificial intelligence, with a particular focus on KANSEI engineering—the study of how technology can understand and evoke human affective responses. His most notable contribution, the "Surprise Generator for Virtual KANSEI Based on Human Surprise Characteristics" (2011), explores the computational modeling of surprise, a fundamental yet often overlooked emotion. By systematically analyzing the characteristics of human surprise, Zenkoyoh developed a framework that enables virtual agents to generate and express this emotion in a believable, context-aware manner. This work is pivotal for advancing human-computer interaction, making digital entities more relatable and emotionally intelligent. While his highly specialized research has garnered targeted recognition (with his key paper cited 6 times), its impact is significant within the niche field of affective computing and virtual character design. Zenkoyoh’s research offers a foundational step toward creating machines that can not only recognize but also authentically simulate the full spectrum of human emotional experience, bridging the gap between cold computation and warm, intuitive interaction.
Research Focus
Key Achievements
Top Papers
- 1