Jinjing Mao

Papers

Total Citations

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About

Jinjing Mao is a leading researcher in human–robot interaction, with a focus on robot transparency, anthropomorphic design, and their combined effects on human–robot communication. Her most-cited work, “Robot Transparency and Anthropomorphic Attribute Effects on Human–Robot Interactions” (2021, 18 citations), investigates how anthropomorphic robots can serve as effective, emotive agents in collaborative settings. Mao’s research demonstrates that transparent communication—where robots clearly convey their intentions and limitations—enhances user trust, performance, and positive emotional experiences. By bridging robotics, psychology, and design, she has contributed foundational insights into how robots can be both relatable and reliable partners. Her work is particularly influential in shaping the development of socially assistive robots and autonomous systems that require sustained human engagement. Mao’s findings have practical implications for fields ranging from healthcare to manufacturing, where effective human-robot teamwork is critical. With a growing citation record and a clear trajectory of impact, Jinjing Mao is establishing herself as a key voice in creating robots that are not only intelligent but also intuitively communicative.