ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2019
Neural Mechanisms for Accepting and Rejecting Artificial Social Partners in the Uncanny Valley.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Grasp and remember: the impact of human and robotic actions on object preference and memory.Scientific reports · 2024Article
- Psychophysics of user acceptance of social cyber-physical systems.Frontiers in robotics and AI · 2024Review
- A Neural Mechanism in the Human Orbitofrontal Cortex for Preferring High-Fat Foods Based on Oral Texture.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Disentangling five dimensions of animacy in human brain and behaviour.Communications biology · 2022Article
- Corneal reflections and skin contrast yield better memory of human and virtual faces.Cognitive research: principles and implications · 2022Article
- Causal Analysis of Activity in Social Brain Areas During Human-Agent Conversation.Frontiers in neuroergonomics · 2022Article
- Robot faces elicit responses intermediate to human faces and objects at face-sensitive ERP components.Scientific reports · 2021Article
- Creepy cats and strange high houses: Support for configural processing in testing predictions of nine uncanny valley theories.Journal of vision · 2021Article
- Measurement of Trust in Automation: A Narrative Review and Reference Guide.Frontiers in psychology · 2021Review
- A Computer-Based Method for the Investigation of Human Behavior in the Iterative Chicken Game.Frontiers in psychology · 2021Article
- Macaque Gaze Responses to the Primatar: A Virtual Macaque Head for Social Cognition Research.Frontiers in psychology · 2020Article
- The Human Takes It All: Humanlike Synthesized Voices Are Perceived as Less Eerie and More Likable. Evidence From a Subjective Ratings Study.Frontiers in neurorobotics · 2020Article
- Chikamatsu, Mori, and the uncanny valley.i-PerceptionArticle
- Article
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Authors and funding
5 authors.
Funding
Abstract
Artificial agents are becoming prevalent across human life domains. However, the neural mechanisms underlying human responses to these new, artificial social partners remain unclear. The uncanny valley (UV) hypothesis predicts that humans prefer anthropomorphic agents but reject them if they become too humanlike-the so-called UV reaction. Using fMRI, we investigated neural activity when subjects evaluated artificial agents and made decisions about them. Across two experimental tasks, the ventromedial prefrontal cortex (VMPFC) encoded an explicit representation of subjects' UV reactions. Specifically, VMPFC signaled the subjective likability of artificial agents as a nonlinear function of humanlikeness, with selective low likability for highly humanlike agents. In exploratory across-subject analyses, these effects explained individual differences in psychophysical evaluations and preference choices. Functionally connected areas encoded critical inputs for these signals: the temporoparietal junction encoded a linear humanlikeness continuum, whereas nonlinear representations of humanlikeness in dorsomedial prefrontal cortex (DMPFC) and fusiform gyrus emphasized a human-nonhuman distinction. Following principles of multisensory integration, multiplicative combination of these signals reconstructed VMPFC's valuation function. During decision making, separate signals in VMPFC and DMPFC encoded subjects' decision variable for choices involving humans or artificial agents, respectively. A distinct amygdala signal predicted rejection of artificial agents. Our data suggest that human reactions toward artificial agents are governed by a neural mechanism that generates a selective, nonlinear valuation in response to a specific feature combination (humanlikeness in nonhuman agents). Thus, a basic principle known from sensory coding-neural feature selectivity from linear-nonlinear transformation-may also underlie human responses to artificial social partners.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.