Andrei Teodorescu
Papers
2
Total Citations
19
H-Index
2
About
Andrei Teodorescu is a researcher whose work lies at the intersection of cognitive psychology and human-robot interaction, with a particular focus on how judgmental biases shape decision-making. His key research areas include the study of cognitive fallacies—such as the conjunction fallacy—and the design of social robot advisors. Teodorescu’s major contributions involve demonstrating how robot judgmental fallacies and contextual factors can influence human trust and reliance on automated systems. His 2022 paper, "Social robot advisors: effects of robot judgmental fallacies and context," has garnered 16 citations, highlighting its impact on understanding the nuanced dynamics of human-robot collaboration. In earlier work (2021), he introduced a novel "free ranking vs. rank-choosing" paradigm, showing that how options are presented—whether by ranking freely or choosing between rank orders—can significantly affect the prevalence of fallacious judgments. This innovative approach offers fresh insights into the cognitive mechanisms behind common reasoning errors. Teodorescu’s research is notable for bridging theoretical cognitive science with practical applications in robotics, making his work essential reading for students and researchers interested in human decision-making, AI ethics, and the design of trustworthy autonomous agents.
Research Focus
Key Achievements
Top Papers
- 1Social robot advisors: effects of robot judgmental fallacies and context16 citations · 2022
- 2Free ranking vs. rank-choosing: New insights on the conjunction fallacy3 citations · 2021