Evidence map›Paper›PMID 31263064›Full record

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.

Astrid M Rosenthal-von der Pütten, Nicole C Krämer, Stefan Maderwald, Matthias Brand, Fabian Grabenhorst

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Review
  3. 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 · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Astrid M Rosenthal-von der PüttenSocial Psychology: Media and Communication, University Duisburg-Essen, 47048 Duisburg, Germany, fg292@cam.ac.uk arvdp@humtec.rwth-aachen.de.ORCID 0000-0002-2497-143X
Nicole C KrämerSocial Psychology: Media and Communication, University Duisburg-Essen, 47048 Duisburg, Germany.
Stefan MaderwaldErwin L. Hahn Institute for Magnetic Resonance Imaging, 45141 Essen, Germany.
Matthias BrandErwin L. Hahn Institute for Magnetic Resonance Imaging, 45141 Essen, Germany.
Fabian GrabenhorstDepartment of Physiology, Development and Neuroscience, University of Cambridge, CB2 3DY Cambridge, United Kingdom fg292@cam.ac.uk arvdp@humtec.rwth-aachen.de.ORCID 0000-0002-6455-0648

Funding

Wellcome TrustWellcome Trust 206207/Z/17/Z
6 · The paper itself

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.

Indexed as

Psychological DistanceRoboticsAdolescentAdultArtificial IntelligenceChoice BehaviorFemaleHumansMagnetic Resonance ImagingMaleMentalizationPrefrontal CortexYoung Adultemotionmentalizingprefrontal cortexrewardsocial

Identifiers

PMID31263064
PMCPMC6697392

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.