Ariana Mosley
Papers
2
Total Citations
25
H-Index
2
About
Ariana Mosley is a researcher at the forefront of human-robot interaction, specializing in how robot authority and human-like design influence human compliance and trust. Her work critically examines the dynamics of power and persuasion in human-machine teams, with a focus on applications in coaching and collaborative settings. Mosley’s most-cited paper, “Robot Authority in Human-Machine Teams: Effects of Human-Like Appearance on Compliance” (2019, 22 citations), demonstrates that robots with more human-like features can significantly increase user compliance, a finding with profound implications for the design of socially assistive robots. She further explores this theme in “Robot Knows Best? A Comparison of Compliance with Human and Robotic Coaches” (2019, 3 citations), which directly compares human and robotic authority figures. By systematically investigating the subtle cues that shape our deference to machines, Mosley’s research helps define the ethical and practical boundaries of robot-led interactions. Her work is essential reading for anyone interested in the psychology of human-automation trust and the future of collaborative robotics.
Research Focus
Key Achievements
Top Papers
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