Momoko Fushiki

Toyohashi University of Technology

Papers

2

Total Citations

18

H-Index

2

About

Momoko Fushiki is a researcher at the forefront of human-robot interaction, with a specialized focus on the social dynamics of autonomous driving. Her work critically examines the often-overlooked human element in automated transportation, arguing that eliminating human involvement may negatively impact user trust and acceptance. Fushiki’s key contributions lie in designing more intuitive and socially-aware driving agents. Her most cited work, "Improving Human-Autonomous Car Interaction Through Gaze Following Behaviors of Driving Agents" (2019, 12 citations), demonstrates how equipping vehicles with human-like gaze behaviors can significantly enhance communication and safety. She further explores the complexities of multi-party communication in "Multi-party Conversation of Driving Agents" (2018, 6 citations), addressing the challenge of engaging drivers in conversation without causing distraction. By pioneering the integration of social cues—such as gaze and conversational turn-taking—into autonomous systems, Fushiki is shaping a future where cars are not just tools, but collaborative partners, making her a vital voice in the evolution of safe and comfortable transportation.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Improving Human-Autonomous Car Interaction Through Gaze Following Behaviors of Driving Agents
12 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Toyohashi University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago