Yuhan Luo
Papers
1
Total Citations
1
H-Index
1
About
Yuhan Luo is a researcher whose work lies at the intersection of human-robot interaction, social computing, and cognitive ergonomics. Their most-cited paper, "Signaling Human Intentions to Service Robots: Understanding the Use of Social Cues during In-Person Conversations" (2025, 1 citation), explores how people naturally use verbal cues, gestures, and eye gaze to signal their intentions to service robots in real-world settings. This foundational study addresses a critical challenge: enabling robots to interpret human social signals without disrupting the user’s primary tasks, thereby reducing cognitive load and minimizing distractions. Luo’s contributions are pivotal for designing socially acceptable robots that can seamlessly integrate into daily environments, such as hospitals, offices, or homes. By focusing on the subtle, often-overlooked dynamics of in-person conversations, their work advances the field of human-robot interaction toward more intuitive and less intrusive collaboration. Though early in their career, Luo’s research has already sparked interest in how robots can better understand human intent, laying the groundwork for future studies on adaptive, context-aware service robots. Their work promises to shape the next generation of socially intelligent machines.
Research Focus
Key Achievements
Top Papers
- 1