Yijing Xiong
Papers
1
Total Citations
3
H-Index
1
About
Yijing Xiong is a researcher at the forefront of human-robot interaction (HRI), with a particular focus on understanding and modeling human preferences in social robotics contexts. Their most cited work, "Advbot: Towards Understanding Human Preference in a Human-Robot Interaction Scenario" (2018), addresses a critical challenge as social robots are projected to dominate the robotics market by 2025 and increasingly co-exist with humans in daily life. Xiong’s contributions center on developing frameworks to systematically capture how people respond to and prefer different robot behaviors, bridging the gap between technical robotic capabilities and nuanced human social expectations. This work has garnered attention in the growing field of socially assistive robotics, accumulating citations that reflect its relevance to both academic researchers and industry practitioners. By tackling the fundamental question of what makes human-robot interactions feel natural and acceptable, Xiong’s research provides essential insights for designing robots that can successfully integrate into homes, workplaces, and public spaces—a key step toward a future where humans and robots collaborate seamlessly.
Research Focus
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Top Papers
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