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A review of empirical evidence on different uncanny valley hypotheses: support for perceptual mismatch as one road to the valley of eeriness

Overview of attention for article published in Frontiers in Psychology, April 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
10 news outlets
blogs
3 blogs
twitter
9 X users
wikipedia
1 Wikipedia page
video
1 YouTube creator

Citations

dimensions_citation
278 Dimensions

Readers on

mendeley
333 Mendeley
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Title
A review of empirical evidence on different uncanny valley hypotheses: support for perceptual mismatch as one road to the valley of eeriness
Published in
Frontiers in Psychology, April 2015
DOI 10.3389/fpsyg.2015.00390
Pubmed ID
Authors

Jari Kätsyri, Klaus Förger, Meeri Mäkäräinen, Tapio Takala

Abstract

The uncanny valley hypothesis, proposed already in the 1970s, suggests that almost but not fully humanlike artificial characters will trigger a profound sense of unease. This hypothesis has become widely acknowledged both in the popular media and scientific research. Surprisingly, empirical evidence for the hypothesis has remained inconsistent. In the present article, we reinterpret the original uncanny valley hypothesis and review empirical evidence for different theoretically motivated uncanny valley hypotheses. The uncanny valley could be understood as the naïve claim that any kind of human-likeness manipulation will lead to experienced negative affinity at close-to-realistic levels. More recent hypotheses have suggested that the uncanny valley would be caused by artificial-human categorization difficulty or by a perceptual mismatch between artificial and human features. Original formulation also suggested that movement would modulate the uncanny valley. The reviewed empirical literature failed to provide consistent support for the naïve uncanny valley hypothesis or the modulatory effects of movement. Results on the categorization difficulty hypothesis were still too scarce to allow drawing firm conclusions. In contrast, good support was found for the perceptual mismatch hypothesis. Taken together, the present review findings suggest that the uncanny valley exists only under specific conditions. More research is still needed to pinpoint the exact conditions under which the uncanny valley phenomenon manifests itself.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 333 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Hungary 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Spain 1 <1%
Iceland 1 <1%
Unknown 326 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 17%
Student > Master 52 16%
Student > Bachelor 49 15%
Researcher 31 9%
Student > Doctoral Student 19 6%
Other 47 14%
Unknown 80 24%
Readers by discipline Count As %
Psychology 71 21%
Computer Science 39 12%
Business, Management and Accounting 26 8%
Social Sciences 17 5%
Neuroscience 14 4%
Other 65 20%
Unknown 101 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 117. 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 15 November 2023.
All research outputs
#364,312
of 25,782,917 outputs
Outputs from Frontiers in Psychology
#752
of 34,789 outputs
Outputs of similar age
#4,007
of 279,779 outputs
Outputs of similar age from Frontiers in Psychology
#10
of 470 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,789 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done particularly well, scoring higher than 97% 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 279,779 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 98% of its contemporaries.
We're also able to compare this research output to 470 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 97% of its contemporaries.