Yuta Nishiyama

Nagaoka University of Technology

Papers

1

Total Citations

2

H-Index

1

About

Yuta Nishiyama is a researcher whose work lies at the fascinating intersection of cognitive science, social behavior, and pedestrian dynamics. His primary research areas include interpersonal coordination, joint action, and the subtle mechanisms that enable smooth human interactions in crowded spaces. Nishiyama’s major contribution is his investigation into how pedestrians spontaneously coordinate their movements without explicit communication. In his most cited work, "Spontaneous behavioral coordination between pedestrians emerges through mutual anticipation rather than mutual gaze" (2022), he challenges conventional assumptions by demonstrating that head-on collision avoidance and crowd navigation rely more on predictive, anticipatory processes than on direct eye contact. This finding has significant implications for understanding social cognition and designing safer, more efficient public spaces. With 2 citations to date, this paper is gaining traction among scholars studying human movement and collective behavior. Nishiyama’s research elegantly reveals the hidden choreography of everyday life, showing that even the simple act of walking through a crowd involves a complex, unspoken dance of mutual anticipation. His work is essential reading for students and researchers interested in embodied cognition, social interaction, and the physics of crowds.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Spontaneous behavioral coordination between pedestrians emerges through mutual anticipation rather than mutual gaze
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Nagaoka University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago