Bnaya Dreyfuss

Hebrew University of Jerusalem, Harvard University

Papers

Total Citations

H-Index

About

Bnaya Dreyfuss investigates the intersection of human-robot interaction and behavioral economics, focusing on how monetary incentives shape competition and collaboration between humans and autonomous systems. In his most-cited work, "Monetary-Incentive Competition Between Humans and Robots: Experimental Results" (2019, 14 citations), Dreyfuss conducted a controlled experiment with 60 participants who competed against a robot in a monotonous task for real monetary rewards. By manipulating the robot's performance and incentive levels across ten rounds, he revealed critical insights into how humans adjust effort and strategy when pitted against machines—a foundational contribution to understanding labor dynamics in automated workplaces. His more recent study, "Additive vs. subtractive earning in shared human-robot work environments" (2023), extends this work by exploring how different earning structures influence human motivation and cooperation with robots. Dreyfuss’s research has direct implications for designing equitable human-robot work systems, offering evidence-based guidance for policymakers and engineers. His experimental approach, combining rigorous behavioral data with real-world incentive structures, positions him as an emerging voice in the ethics and economics of automation.