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Emotional expressions beyond facial muscle actions. A call for studying autonomic signals and their impact on social perception

Overview of attention for article published in Frontiers in Psychology, May 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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1 blog
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Title
Emotional expressions beyond facial muscle actions. A call for studying autonomic signals and their impact on social perception
Published in
Frontiers in Psychology, May 2015
DOI 10.3389/fpsyg.2015.00711
Pubmed ID
Authors

Mariska E. Kret

Abstract

Humans are well adapted to quickly recognize and adequately respond to another's emotions. Different theories propose that mimicry of emotional expressions (facial or otherwise) mechanistically underlies, or at least facilitates, these swift adaptive reactions. When people unconsciously mimic their interaction partner's expressions of emotion, they come to feel reflections of those companions' emotions, which in turn influence the observer's own emotional and empathic behavior. The majority of research has focused on facial actions as expressions of emotion. However, the fact that emotions are not just expressed by facial muscles alone is often still ignored in emotion perception research. In this article, I therefore argue for a broader exploration of emotion signals from sources beyond the face muscles that are more automatic and difficult to control. Specifically, I will focus on the perception of implicit sources such as gaze and tears and autonomic responses such as pupil-dilation, eyeblinks and blushing that are subtle yet visible to observers and because they can hardly be controlled or regulated by the sender, provide important "veridical" information. Recently, more research is emerging about the mimicry of these subtle affective signals including pupil-mimicry. I will here review this literature and suggest avenues for future research that will eventually lead to a better comprehension of how these signals help in making social judgments and understand each other's emotions.

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 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 <1%
Colombia 1 <1%
Italy 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 225 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 15%
Researcher 32 14%
Student > Bachelor 31 13%
Student > Ph. D. Student 29 13%
Student > Doctoral Student 20 9%
Other 32 14%
Unknown 52 23%
Readers by discipline Count As %
Psychology 105 46%
Neuroscience 17 7%
Agricultural and Biological Sciences 12 5%
Medicine and Dentistry 11 5%
Biochemistry, Genetics and Molecular Biology 4 2%
Other 22 10%
Unknown 59 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 26 February 2021.
All research outputs
#2,390,059
of 22,803,211 outputs
Outputs from Frontiers in Psychology
#4,640
of 29,717 outputs
Outputs of similar age
#32,554
of 266,726 outputs
Outputs of similar age from Frontiers in Psychology
#109
of 528 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,717 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 84% 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 266,726 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 528 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.