Yoyo Tsung-Yu Hou
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
Top Papers
- 1
- 2Power in Human-Robot Interaction18 citations · 2024
- 3
- 4PAPERINO11 citations · 2018
- 5