K.E. Linder

Papers

Total Citations

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About

K.E. Linder is a researcher at the forefront of human-robot interaction, specializing in how trust and cooperation shape decision-making between people and machines. Their most-cited work, "Trust and Cooperation in Human-Robot Decision Making" (2016, 8 citations), employs game theory—specifically a coin entrustment game—to investigate whether individuals adjust their cooperative behavior based on whether they are interacting with a human or a robot. This foundational study reveals that the type of agent significantly influences trust dynamics, offering critical insights for designing more effective and socially aware autonomous systems. Linder’s contributions bridge psychology, robotics, and behavioral economics, providing a framework for understanding how humans perceive and collaborate with artificial agents. Their work has implications for fields ranging from healthcare robotics to autonomous vehicles, where trust is essential for successful human-robot teams. By quantifying the subtle ways people extend—or withhold—trust from machines, Linder has helped lay the groundwork for more intuitive and cooperative AI, making their research a valuable resource for students and scholars exploring the future of human-machine collaboration.