Yegor Chebotarev
Papers
1
Total Citations
2
H-Index
1
About
Yegor Chebotarev is an emerging researcher in human-robot interaction (HRI), with a focused interest in the psychological and behavioral dynamics that shape trust between humans and autonomous systems. His work centers on understanding how robot errors—particularly those that are task-dependent—affect user trust, a critical factor for the safe and effective deployment of robots in everyday environments. In his most cited pilot study, Chebotarev investigates whether the context in which a robot makes a mistake influences the degree of trust erosion and recovery, offering early but essential insights into the nuanced relationship between robot performance and human perception. Though his citation count is still growing, his research addresses a foundational challenge in HRI: designing robots that can maintain user trust even when they are imperfect. Chebotarev’s contributions are particularly relevant for developers of assistive, collaborative, and service robots, where reliability and user confidence are paramount. His work marks an important step toward more resilient and socially aware robotic systems.
Research Focus
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Top Papers
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