Zuopeng Zhang

University of Chicago

Papers

1

Total Citations

2

H-Index

1

About

Zuopeng Zhang is a rising scholar at the intersection of human-robot interaction, affective computing, and user experience design. Their most-cited work, "Exploring Robot Personality Traits and Their Influence on User Affect and Experience" (2025, 2 citations), investigates how distinct robot personalities—from baseline to more expressive designs—shape user emotions and engagement during well-being exercises. This research is foundational for designing socially intelligent robots that adapt to human emotional needs, with implications for healthcare, education, and assistive technologies. By demonstrating that robot personality directly impacts user affect and overall experience, Zhang has contributed a critical framework for developing more empathetic and effective robotic companions. Though early in their career, Zhang’s work signals a growing emphasis on human-centered robotics, where technical functionality meets psychological nuance. Their findings offer practical guidance for engineers and designers aiming to create robots that feel less like tools and more like partners in well-being. As the field of social robotics expands, Zhang’s contributions will likely influence how we program machines to connect with people on a deeper, more personal level.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Exploring Robot Personality Traits and Their Influence on User Affect and Experience
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Chicago

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago