Yoyo Tsung-Yu Hou

Cornell University

Papers

5

Total Citations

78

H-Index

5

About

Yoyo Tsung-Yu Hou investigates the dynamics of power, influence, and social interaction in human-robot relationships. His research reveals how robots delegated with authority can shape human decision-making, often exerting more influence than human peers—a finding from his 2023 study that has garnered 25 citations. Hou systematically maps power’s role in human-robot interaction, demonstrating its pervasive yet overlooked impact on collaboration and leadership. His work on BubbleBot explores how robots can foster serendipitous encounters in public spaces, while his development of PAPERINO advances Wizard-of-Oz techniques for prototyping expressive robot behaviors. Hou also proposes a multilevel framework for human-robot collaboration, integrating leadership theory to guide effective teamwork. With over 78 citations across his most-cited papers, his contributions illuminate how power structures and social dynamics translate into mixed human-robot teams, offering critical insights for designing robots that navigate influence, authority, and spontaneous connection.

Research Focus

Key Achievements

5
H-Index
5
Papers
78
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
“Should I Follow the Human, or Follow the Robot?” — Robots in Power Can Have More Influence Than Humans on Decision-Making
25 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Cornell University

Top Papers

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    PAPERINO
    11 citations · 2018
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago