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The Human Likeness Dimension of the “Uncanny Valley Hypothesis”: Behavioral and Functional MRI Findings

Overview of attention for article published in Frontiers in Human Neuroscience, January 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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2 news outlets
blogs
1 blog
twitter
2 X users
wikipedia
2 Wikipedia pages

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192 Mendeley
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Title
The Human Likeness Dimension of the “Uncanny Valley Hypothesis”: Behavioral and Functional MRI Findings
Published in
Frontiers in Human Neuroscience, January 2011
DOI 10.3389/fnhum.2011.00126
Pubmed ID
Authors

Marcus Cheetham, Pascal Suter, Lutz Jäncke

Abstract

The uncanny valley hypothesis (Mori, 1970) predicts differential experience of negative and positive affect as a function of human likeness. Affective experience of humanlike robots and computer-generated characters (avatars) dominates "uncanny" research, but findings are inconsistent. Importantly, it is unknown how objects are actually perceived along the hypothesis' dimension of human likeness (DOH), defined in terms of human physical similarity. To examine whether the DOH can also be defined in terms of effects of categorical perception (CP), stimuli from morph continua with controlled differences in physical human likeness between avatar and human faces as endpoints were presented. Two behavioral studies found a sharp category boundary along the DOH and enhanced visual discrimination (i.e., CP) of fine-grained differences between pairs of faces at the category boundary. Discrimination was better for face pairs presenting category change in the human-to-avatar than avatar-to-human direction along the DOH. To investigate brain representation of physical change and category change along the DOH, an event-related functional magnetic resonance imaging study used the same stimuli in a pair-repetition priming paradigm. Bilateral mid-fusiform areas and a different right mid-fusiform area were sensitive to physical change within the human and avatar categories, respectively, whereas entirely different regions were sensitive to the human-to-avatar (caudate head, putamen, thalamus, red nucleus) and avatar-to-human (hippocampus, amygdala, mid-insula) direction of category change. These findings show that Mori's DOH definition does not reflect subjective perception of human likeness and suggest that future "uncanny" studies consider CP and the DOH's category structure in guiding experience of non-human objects.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Germany 2 1%
United Kingdom 2 1%
Canada 2 1%
Netherlands 1 <1%
Finland 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 178 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 18%
Student > Ph. D. Student 31 16%
Student > Bachelor 23 12%
Student > Master 20 10%
Student > Doctoral Student 13 7%
Other 36 19%
Unknown 35 18%
Readers by discipline Count As %
Psychology 60 31%
Computer Science 19 10%
Neuroscience 17 9%
Engineering 13 7%
Medicine and Dentistry 9 5%
Other 27 14%
Unknown 47 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 January 2024.
All research outputs
#1,163,410
of 23,523,017 outputs
Outputs from Frontiers in Human Neuroscience
#543
of 7,308 outputs
Outputs of similar age
#6,013
of 183,792 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#11
of 118 outputs
Altmetric has tracked 23,523,017 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,308 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 183,792 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.