Victoria Chen
Papers
2
Total Citations
7
H-Index
2
About
Victoria Chen is a pioneering researcher at the intersection of human-robot interaction (HRI) and assistive robotics, with a focus on socially-aware feeding technologies and virtual reality (VR) simulation for HRI studies. Her most-cited work, "Determining Success and Attributes of Various Feeding Approaches With A Mobile Robot" (2022, 4 citations), breaks new ground by shifting robot feeding research from purely mechanical food acquisition to human-centric, socially-inspired behaviors—a critical step toward making assistive robots more expressive and acceptable in caregiving contexts. Chen’s second major contribution, "HAVEN: A Unity-based Virtual Robot Environment to Showcase HRI-based Augmented Reality" (2020, 3 citations), emerged as a timely response to the COVID-19 pandemic, offering a VR simulation alternative for conducting HRI studies when in-person research was impossible. This work demonstrates her ability to adapt experimental methodologies to real-world constraints, expanding the toolkit for remote robotics research. Though early in her career, Chen’s focus on socially-expressive robot feeding and VR-based HRI platforms positions her as an innovator in making assistive robots more intuitive and human-centered. Her research has direct implications for improving quality of life for individuals with motor impairments, and her methodological contributions are shaping how HRI studies are conducted in socially-distanced or remote settings.
Research Focus
Key Achievements
Top Papers
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