Dan Levin

Papers

Total Citations

H-Index

About

Dan Levin is a leading researcher in human-robot interaction and cognitive science, whose work explores how people make sense of intelligent agents. His most-cited paper, "Cognitive Dissonance as a Measure of Reactions to Human-Robot Interaction" (2013, 41 citations), introduced a novel framework for understanding how interactions with robots can challenge and reshape people’s existing beliefs about machines, minds, and intelligence. By applying the concept of cognitive dissonance to HRI, Levin demonstrated that these encounters are not passive—they actively transform users’ mental models. His research bridges social psychology and robotics, revealing the cognitive tensions that arise when humans engage with artificial agents. Beyond this foundational study, Levin has contributed to understanding how prior knowledge about technology influences interaction outcomes, and how these experiences can lead to lasting conceptual change. With a growing citation impact, his work is essential for designers and theorists aiming to create more intuitive, psychologically grounded robotic systems. Levin’s insights continue to shape how we think about the human side of intelligent technology.