Naoto Mukai
Papers
1
Total Citations
2
H-Index
1
About
Naoto Mukai is a researcher whose work sits at the intersection of human-robot interaction, gerontechnology, and traffic safety, with a particular focus on improving driving behaviors among Japan’s aging population. His most cited study, “The Effect of Adding Japanese Honorifics When Naming a Driving-Review Robot” (2024, 2 citations), explores a novel, culturally nuanced approach to encouraging elderly drivers to reflect on their habits. By investigating how the linguistic framing of a robot’s name—specifically the use of Japanese honorifics—affects user engagement, Mukai addresses a critical societal challenge: reducing traffic fatalities among those aged 65 and older, who are disproportionately represented in accident statistics. This work highlights his broader contribution to designing socially acceptable, persuasive technologies that respect cultural norms while promoting safer driving. Though early in its citation impact, Mukai’s research stands out for its creative integration of sociolinguistics and robotics, offering a gentle, respectful alternative to mandatory training sessions. His findings have implications for human-robot communication, elder care, and public health, marking him as an emerging voice in applied, culturally-aware engineering.
Research Focus
Key Achievements
Top Papers
- 1