Anne Havard
Papers
1
Total Citations
6
H-Index
1
About
Anne Havard is a leading voice in the emerging field of human-robot interaction, with a particular focus on the psychological and social mechanisms that shape how people perceive intelligent machines. Her research centers on the cognitive processes underlying mind attribution—how and why humans ascribe thoughts, intentions, and consciousness to robots. In her highly cited 2024 paper, "The roles of cognitive dissonance and normative reasoning in attributions of minds to robots," Havard reveals that people do not simply default to anthropomorphizing robots; instead, they engage in complex reasoning, often experiencing cognitive dissonance when a robot’s behavior challenges their assumptions about its status as a mere machine. This work has garnered 6 citations in its first year, signaling its immediate impact on the field. Havard’s contributions are notable for bridging social psychology and robotics, offering a nuanced framework that explains why some individuals resist or embrace the idea of robotic minds. Her findings have practical implications for designing more socially acceptable AI and for understanding the ethical boundaries of human-robot relationships. As a rising scholar, Havard is shaping how we think about the boundaries between the human and the technological.
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Top Papers
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