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Emotions and personality traits as high-level factors in visual attention: a review

Overview of attention for article published in Frontiers in Human Neuroscience, January 2012
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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12 X users
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4 Google+ users

Citations

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61 Dimensions

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176 Mendeley
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4 CiteULike
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Title
Emotions and personality traits as high-level factors in visual attention: a review
Published in
Frontiers in Human Neuroscience, January 2012
DOI 10.3389/fnhum.2012.00321
Pubmed ID
Authors

Kai Kaspar, Peter König

Abstract

The visual sense has outstanding significance for human perception and behavior, and visual attention plays a central role in the processing of the sensory input. Thereby, multiple low- and high-level factors contribute to the guidance of attention. The present review focuses on two neglected high-level factors: emotion and personality. The review starts with an overview of different models of attention, providing a conceptual framework and illustrating the nature of low- and high-level factors in visual attention. Then, the ambiguous concept of emotion is described, and recommendations are made for the experimental practice. In the following, we present several studies showing the influence of emotion on overt attention, whereby the distinction between internally and externally located emotional impacts are emphasized. We also provide evidence showing that emotional stimuli influence perceptual processing outside of the focus of attention, whereby results in this field are mixed. Then, we present some detached studies showing the reversed causal effect: attention can also affect emotional responses. The final section on emotion-attention interactions addresses the interplay on the neuronal level, which has been neglected for a long time in neuroscience. In this context, several conceptual recommendations for future research are made. Finally, based on findings showing inter-individual differences in human sensitivity to emotional items, we introduce the wide range of time-independent personality traits that also influence attention, and in this context we try to raise awareness of the consideration of inter-individual differences in the field of neuroscience.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Malaysia 1 <1%
France 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Japan 1 <1%
Canada 1 <1%
Unknown 166 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 22%
Student > Master 26 15%
Researcher 19 11%
Student > Bachelor 17 10%
Student > Doctoral Student 13 7%
Other 33 19%
Unknown 30 17%
Readers by discipline Count As %
Psychology 81 46%
Agricultural and Biological Sciences 11 6%
Computer Science 9 5%
Engineering 8 5%
Business, Management and Accounting 6 3%
Other 26 15%
Unknown 35 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 01 May 2014.
All research outputs
#3,195,470
of 25,182,110 outputs
Outputs from Frontiers in Human Neuroscience
#1,522
of 7,638 outputs
Outputs of similar age
#24,645
of 256,285 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#89
of 292 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 80% 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 256,285 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 90% of its contemporaries.
We're also able to compare this research output to 292 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.