Xiaozhen Liu
Papers
2
Total Citations
21
H-Index
2
About
Xiaozhen Liu is an emerging researcher whose work sits at the intersection of human-robot interaction, social robotics, and affective computing. With a focus on how robots communicate emotions and social cues, Liu investigates the nuanced ways in which robotic design choices — from physical appearance to vocal expression — shape how humans perceive and relate to machines. Her 2023 study on non-lexical vocalizations, such as expressive sounds like "Woohoo" and "Argh," demonstrated that even non-speech audio cues can meaningfully enhance users' emotional and social perceptions of robots, a finding that has already garnered 12 citations and opens promising new directions for robot sound design. Her earlier 2020 work, which examined how robot appearances, voice types, and emotional expressions influence emotion perception accuracy, laid important groundwork for understanding the multidimensional factors that govern human-robot rapport, accumulating 9 citations. Together, these contributions reflect Liu's commitment to making robots more socially intuitive and emotionally resonant. Her research carries significant implications for the design of companion robots, service robots, and any application where human-robot trust and connection are paramount.
Research Focus
Key Achievements
Top Papers
- 1
- 2