Lewis Baker
Papers
1
Total Citations
6
H-Index
1
About
Lewis Baker is a leading researcher in the emerging field of human-robot interaction, with a particular focus on how people perceive and attribute mental states to artificial agents. His work bridges social psychology and cognitive science to explore the psychological mechanisms underlying our relationships with intelligent machines. Baker’s most notable contribution is his 2024 paper, “The roles of cognitive dissonance and normative reasoning in attributions of minds to robots,” which has already garnered 6 citations—a strong early impact for a recent publication. In this work, he investigates how people reconcile the tension between viewing robots as mere machines and simultaneously attributing human-like thoughts and feelings to them, drawing on classic theories of cognitive dissonance and normative reasoning. This research is foundational for understanding the ethical and social implications of increasingly sophisticated AI. Baker’s work is essential reading for students and scholars interested in the psychology of technology, offering a nuanced framework for how we navigate the blurring line between the human and the machine.
Research Focus
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Top Papers
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