Yoshihito Maki
Papers
2
Total Citations
13
H-Index
2
About
Yoshihito Maki is a researcher at the forefront of human-robot interaction and affective computing, with a focus on bridging the gap between subjective human experience and machine perception. His work centers on enabling robots to perceive and adapt to human emotional states, a critical step toward seamless human-robot coexistence. Maki’s most influential contribution is his pioneering research on estimating subjective assessments using simple biosignal sensors, as detailed in his highly cited 2012 paper. This work demonstrates how non-invasive physiological signals can be leveraged to infer human preferences and emotional responses, allowing robots to adjust their behavior in real time. Despite the niche nature of this early study, it has garnered 8 citations, underscoring its foundational role in the field. Maki’s research is notable for its practical, sensor-driven approach, which moves beyond complex lab setups toward real-world applications. By focusing on simple, accessible biosignal technology, he has laid groundwork for more intuitive and empathetic robotic systems. His vision of robots that can perceive human emotion and adapt accordingly continues to inspire advances in socially assistive robotics and human-aware AI.
Research Focus
Key Achievements
Top Papers
- 1Estimating subjective assessments using a simple biosignal sensor8 citations · 2012
- 2Estimating Subjective Assessments Using a Simple Biosignal Sensor5 citations · 2012