APA
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Yizhar, O., Maimon, A., Tal, Z., Wald, I., Erel, H., Friedman, D., … Amedi, A. (2026). Perceiving Animacy in Robots: A Neuroimaging Study. IEEE/ACM International Conference on Human-Robot Interaction.
Chicago/Turabian
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Yizhar, Or, Amber Maimon, Zohar Tal, I. Wald, H. Erel, Doron Friedman, Oren Zuckerman, and Amir Amedi. “Perceiving Animacy in Robots: A Neuroimaging Study.” IEEE/ACM International Conference on Human-Robot Interaction (2026).
MLA
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Yizhar, Or, et al. “Perceiving Animacy in Robots: A Neuroimaging Study.” IEEE/ACM International Conference on Human-Robot Interaction, 2026.
BibTeX Click to copy
@article{or2026a,
title = {Perceiving Animacy in Robots: A Neuroimaging Study},
year = {2026},
journal = {IEEE/ACM International Conference on Human-Robot Interaction},
author = {Yizhar, Or and Maimon, Amber and Tal, Zohar and Wald, I. and Erel, H. and Friedman, Doron and Zuckerman, Oren and Amedi, Amir}
}
Animacy is central to HRI, as it is critical for perceptions of intentionality and influences acceptance, interaction quality, and trust. In order to better understand the underlying mechanisms of the sense of animacy and its role in HRI, we conducted an experiment (n=13) using a social robotic object that is ambiguous with respect to its perceived animacy. We examined how brain activity related to a subjective animacy rating of the robot by participants after watching it perform simple gestures. Using functional imaging, we found that the ventral occipitotemporal (VOT) cortex, a region known to distinguish animate from inanimate entities, also responds to robots along this same organizational gradient. In an exploratory analysis, activity in the left VOT was associated with the individual differences in participants’ subjective animacy rating of the robot. This extends established principles of animacy perception to non-humanoid robots and suggests that individual differences in brain responses may shape how robots are experienced. We discuss implications for HRI, including guiding social cue design, informing gesture alignment with robot roles, and raising ethical considerations around attachment and trust.