السبت، 11 مارس 2017

Mona Lisa’s smile decoded: Science says she is happy

Author: 
AFP
Sun, 2017-03-12
ID: 
1489263883020298000

PARIS: The subject of centuries of scrutiny and debate, Mona Lisa’s famous smile is routinely described as ambiguous. But is it really that hard to read?
Apparently not.
In an unusual trial, close to 100 percent of people described her expression as unequivocally “happy,” researchers revealed on Friday.
“We really were astonished,” neuroscientist Juergen Kornmeier of the University of Freiburg in Germany, who co-authored the study, told AFP.
Kornmeier and a team used what is arguably the most famous artwork in the world in a study of factors that influence how humans judge visual cues such as facial expressions.
Known as La Gioconda in Italian, the Mona Lisa is often held up as a symbol of emotional enigma.
The portrait appears to many to be smiling sweetly at first, only to adopt a mocking sneer or sad stare the longer you look.
Using a black and white copy of the early 16th century masterpiece by Leonardo da Vinci, a team manipulated the model’s mouth corners slightly up and down to create eight altered images — four marginally but progressively “happier,” and four “sadder” Mona Lisas.
A block of nine images were shown to 12 trial participants 30 times.
In every showing, for which the pictures were randomly reshuffled, participants had to describe each of the nine images as happy or sad.
“Given the descriptions from art and art history, we thought that the original would be the most ambiguous,” Kornmeier said.
Instead, “to our great astonishment, we found that Da Vinci’s original was... perceived as happy” in 97 percent of cases.
A second phase of the experiment involved the original Mona Lisa with eight “sadder” versions, with even more nuanced differences in the lip tilt.
In this test, the original was still described as happy, but participants’ reading of the other images changed.
The findings confirm that “we don’t have an absolute fixed scale of happiness and sadness in our brain” — and that a lot depends on context, the researcher explained.

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http://ift.tt/2nrt0AL March 11, 2017 at 09:25PM

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