Koki Toda

The University of Tokyo

Papers

2

Total Citations

65

H-Index

2

About

Koki Toda is a pioneering researcher in human-autonomous vehicle interaction, with a focus on non-verbal communication design. His work explores how anthropomorphic features, particularly artificial eyes on self-driving cars, can enhance pedestrian safety and decision-making. In his highly cited 2022 study, "Can Eyes on a Car Reduce Traffic Accidents?" (41 citations), Toda demonstrated that gaze cues from autonomous vehicles help pedestrians cross streets faster and more confidently, reducing ambiguity in critical traffic scenarios. Expanding on this, his follow-up paper, "“I am going this way”: Gazing Eyes on Self-Driving Car Show Multiple Driving Directions" (24 citations), addressed the limitations of traditional turn signals by using directional eye movements to convey complex navigation intentions, such as distinguishing between multiple left-turn paths. Toda’s contributions are reshaping how autonomous vehicles communicate with humans, moving beyond mechanical signals to intuitive, socially-inspired interactions. His work has been recognized for its potential to reduce traffic accidents and improve pedestrian trust in AVs, earning him a reputation as a leader in designing safer, more transparent human-robot interfaces.

Research Focus

Key Achievements

2
H-Index
2
Papers
65
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Can Eyes on a Car Reduce Traffic Accidents?
41 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: The University of Tokyo

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago