Jordan Henstrom
Papers
1
Total Citations
12
H-Index
1
About
Dr. Jordan Henstrom is a pioneering researcher at the intersection of human-robot interaction, machine behavior, and cooperative game theory. His work confronts the fundamental challenge of designing autonomous systems that can balance operational efficiency with risk management when cooperating with humans. In his most-cited study, "Confronting barriers to human-robot cooperation" (2020, 12 citations), Henstrom conducted a landmark series of experiments comparing human-human, robot-robot, and human-robot cooperation in strategically complex resource-sharing scenarios. This work systematically identified the technical and psychological barriers that prevent machines from achieving the fluid, trust-based cooperation seen between people. By revealing how current AI systems struggle with risk assessment and strategic trade-offs in mixed-human-robot teams, Henstrom’s research has laid critical groundwork for developing more adaptive and trustworthy collaborative robots. His findings are particularly influential for fields ranging from manufacturing to healthcare, where effective human-robot teamwork is essential. Henstrom’s contributions continue to shape how engineers and psychologists approach the design of socially intelligent machines.
Research Focus
Key Achievements
Top Papers
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