Yiyun Huang

Yale University

Papers

1

Total Citations

14

H-Index

1

About

Yiyun Huang is a pioneering researcher at the intersection of animal behavior, human-robot interaction, and cognitive science. Her primary research areas include canine cognition, social robotics, and the design of interactive systems that bridge the gap between humans, pets, and technology. Huang’s most notable contribution is her groundbreaking work demonstrating that domestic dogs (Canis familiaris) will follow a social robot’s commands, as evidenced by her highly cited 2020 study, “Dog Sit! Domestic Dogs Follow a Robot’s Sit Commands.” This research, which has garnered 14 citations, challenges assumptions about animal-robot interaction and provides critical insights for designing personal robots that coexist with pets. By showing that dogs can respond to robotic cues, Huang has opened new avenues for understanding cross-species communication and the potential for robots to serve as intermediaries in human-animal relationships. Her work is essential reading for students and researchers in animal-computer interaction, robotics, and ethology, as it lays the foundation for future systems that explicitly consider pets in their design. Huang’s achievements highlight her as a key figure in shaping how we think about technology’s role in our lives with animals.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Dog Sit! Domestic Dogs (Canis familiaris) Follow a Robot's Sit Commands
14 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Yale University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago