Jacob Tye
Papers
1
Total Citations
12
H-Index
1
About
Jacob Tye’s research lies at the intersection of human-robot interaction, machine behavior, and cooperative game theory, where he investigates the fundamental challenges of designing machines that can effectively collaborate with people. In his most-cited work, “Confronting barriers to human-robot cooperation: balancing efficiency and risk in machine behavior” (2020, 12 citations), Tye systematically unpacks the technical and psychological obstacles to human-robot cooperation through a series of studies comparing human-human, robot-robot, and human-robot interactions in strategically complex resource-sharing scenarios. His major contribution is identifying the critical tension between efficiency and risk in cooperative machine behavior—showing that robots must not only perform tasks optimally but also navigate human trust, predictability, and social norms. This work has implications for autonomous systems in manufacturing, healthcare, and service robotics. While still early in his career, Tye’s research has been recognized for bridging behavioral science and robotics, offering a nuanced framework for building machines that can truly cooperate with people rather than simply execute commands.
Research Focus
Key Achievements
Top Papers
- 1