Papers
2
Total Citations
49
H-Index
2
About
Bingjie Liu is a leading scholar in human-machine communication (HMC), human-computer interaction (HCI), and human-robot interaction (HRI), with a focus on how people perceive and interact with non-human social actors. Her research explores the psychological and social processes underlying human responses to machine-generated content, such as news articles, and how context shapes communication with social technologies. Liu’s most-cited work, “Reading Machine-Written News: Effect of Machine Heuristic and Novelty on Hostile Media Perception” (2018, 25 citations), demonstrates that people apply a “machine heuristic”—a mental shortcut—to judge machine-written news as less biased, reducing hostile media perceptions. Her 2022 paper, “Considering the Context to Build Theory in HCI, HRI, and HMC” (24 citations), offers a critical framework for distinguishing communication processes across different social technologies, addressing a key limitation in the field. With a growing citation impact, Liu’s work is notable for advancing theoretical clarity in HMC and informing the design of more effective, socially-aware technologies. Her contributions are essential for students and researchers studying AI-mediated communication and the evolving dynamics of human-machine interaction.
Research Focus
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Top Papers
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