Momoko Fushiki
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
Top Papers
- 1
- 2Multi-party Conversation of Driving Agents6 citations · 2018