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Font Size Matters—Emotion and Attention in Cortical Responses to Written Words

Overview of attention for article published in PLOS ONE, May 2012
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Title
Font Size Matters—Emotion and Attention in Cortical Responses to Written Words
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0036042
Pubmed ID
Authors

Mareike Bayer, Werner Sommer, Annekathrin Schacht

Abstract

For emotional pictures with fear-, disgust-, or sex-related contents, stimulus size has been shown to increase emotion effects in attention-related event-related potentials (ERPs), presumably reflecting the enhanced biological impact of larger emotion-inducing pictures. If this is true, size should not enhance emotion effects for written words with symbolic and acquired meaning. Here, we investigated ERP effects of font size for emotional and neutral words. While P1 and N1 amplitudes were not affected by emotion, the early posterior negativity started earlier and lasted longer for large relative to small words. These results suggest that emotion-driven facilitation of attention is not necessarily based on biological relevance, but might generalize to stimuli with arbitrary perceptual features. This finding points to the high relevance of written language in today's society as an important source of emotional meaning.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Netherlands 1 <1%
South Africa 1 <1%
Czechia 1 <1%
Switzerland 1 <1%
Canada 1 <1%
Spain 1 <1%
United States 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 118 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 19%
Student > Ph. D. Student 23 18%
Researcher 12 9%
Student > Bachelor 12 9%
Student > Doctoral Student 9 7%
Other 25 20%
Unknown 23 18%
Readers by discipline Count As %
Psychology 36 28%
Business, Management and Accounting 8 6%
Computer Science 8 6%
Medicine and Dentistry 7 5%
Social Sciences 7 5%
Other 31 24%
Unknown 31 24%