Ariel Marvasti
Papers
1
Total Citations
8
H-Index
1
About
Ariel Marvasti is a researcher at the intersection of human-robot interaction, cognitive science, and social perception. Her work investigates how people anthropomorphize robots during natural, situated dialogue, focusing on the subtle cues—both linguistic and visual—that shape these social judgments. In her most cited paper, "Predicting Perceived Age: Both Language Ability and Appearance are Important" (2018, 8 citations), she demonstrates that humans assign age and educational levels to robots based on a combination of their verbal fluency and physical design, challenging the notion that either factor alone drives perception. This contribution is foundational for designing more socially intuitive robotic systems. While her citation count is still growing, Marvasti’s research is notable for its interdisciplinary approach, bridging psycholinguistics and robotics to explore how dialogue partners unconsciously infer traits like maturity and competence from artificial agents. Her work has implications for education, eldercare, and any domain where robots must engage in believable, long-term social interaction.
Research Focus
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Top Papers
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