Ann Hogenhuis
Papers
1
Total Citations
7
H-Index
1
About
Ann Hogenhuis is a cognitive neuroscientist whose research lies at the intersection of social cognition and human–robot interaction. Her work investigates how the human brain processes interactions with artificial agents, probing whether domain-specific and domain-general neural networks are engaged differently when we collaborate with robots versus humans. In her most-cited study (2022, 7 citations), she analyzed a public fMRI dataset to reveal both shared and distinct patterns of neural activation during human–robot interactions, offering early evidence that our social brain networks may generalize—but not entirely—to artificial partners. This exploratory work has opened new avenues for understanding the neural underpinnings of human–technology relationships, with implications for designing more intuitive robotic systems. Hogenhuis’s contributions are particularly notable for bridging cognitive neuroscience and robotics, and her findings have been cited in emerging discussions on social cognition in artificial intelligence. As a rising voice in this interdisciplinary field, she continues to shape how we think about the brain’s adaptability in an increasingly automated world.
Research Focus
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Top Papers
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