Papers

1

Total Citations

14

H-Index

1

About

Ruyang Yu is an emerging scholar in human-robot interaction, with a research focus on the intersection of social robotics, user privacy, and technology acceptance. His work critically examines how design characteristics of social robots—such as appearance, autonomy, and interactivity—influence users' privacy concerns and adoption behaviors. In his most-cited paper, "Exploring the Impact of Social Robot Design Characteristics on Users’ Privacy Concerns: Evidence from PLS-SEM and FsQCA" (2024), Yu employs advanced quantitative methods to uncover both linear and configurational pathways through which robot design shapes user perceptions. This study, already garnering 14 citations, provides actionable insights for engineers and designers aiming to create socially acceptable robots that balance functionality with privacy safeguards. Yu’s contributions are particularly notable for bridging theoretical frameworks from human-computer interaction with empirical evidence, offering a nuanced understanding of how users weigh benefits against risks in robotic systems. His work is increasingly relevant as social robots become more integrated into homes, healthcare, and public spaces, making him a key voice in the ongoing dialogue about ethical and user-centered design in robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Exploring the Impact of Social Robot Design Characteristics on Users’ Privacy Concerns: Evidence from PLS-SEM and FsQCA
14 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Southern University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago