Naeimeh Anzabi
Papers
4
Total Citations
40
H-Index
3
About
Naeimeh Anzabi is an emerging researcher specializing in human-robot interaction (HRI), with a particular focus on the psychological and social dimensions of trust, perception, and communication in human-robot relationships. Her work centers on understanding how humanlike behaviors in social robots — such as listening cues, self-disclosure, and expressions of benevolence and competence — shape the way people perceive and relate to robotic agents. Anzabi's most influential contribution, "Effect of Different Listening Behaviors of Social Robots on Perceived Trust in Human-Robot Interactions" (2023, 25 citations), demonstrates that nuanced behavioral design can meaningfully influence user trust — a critical factor as social robots become increasingly embedded in everyday and professional environments. Her complementary studies on robot backstory disclosure and perceived benevolence further reveal that emotional and narrative dimensions of robot behavior matter deeply to human users, with these papers accumulating an additional 12 citations combined. Collectively, her research advances a richer understanding of robot anthropomorphism, showing that attributes like animacy, likeability, and perceived intelligence are responsive to carefully designed social behaviors. Anzabi's work offers valuable guidance for designers and engineers seeking to build more trustworthy, relatable, and socially effective robotic systems.
Research Focus
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Top Papers
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