Papers
5
Total Citations
98
H-Index
4
About
Nina-Alisa Hinz investigates the cognitive and neural foundations of human-robot interaction, bridging social psychology, experimental neuroscience, and robotics. Her work reveals how individual differences in attitudes toward robots shape real behavior—her 2019 study (37 citations) demonstrates that a person’s pre-existing stance toward robots can predict whether they cooperate or compete with a machine. In a creative twist on classic body-illusion research, Hinz replicated the rubber-hand illusion using a robot (28 citations), showing that humans can experience a robotic limb as their own through simple visuo-tactile stimulation, and that the resulting perceptual drift reflects a fusion of prediction errors rather than a simple hypothesis switch. She also employs electroencephalography (EEG) to uncover the neural markers of action planning and outcome monitoring during human-robot collaboration (23 citations), revealing how the brain processes costly decisions and unexpected outcomes when interacting with artificial agents. Her work has been published in leading venues in human-robot interaction and cognitive neuroscience, and she is recognized for advancing our understanding of how humans perceive, embody, and cooperate with robots—insights essential for designing intuitive, trustworthy robotic systems.
Research Focus
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