Resting bitch face demystified

Actress Kristen Stewart poses before German designer Karl Lagerfeld Haute Couture Spring Summer 2015 fashion show for French fashion house Chanel in Paris January 27, 2015. REUTERS/Charles Platiau (FRANCE - Tags: FASHION ENTERTAINMENT HEADSHOT)

Actress Kristen Stewart poses before German designer Karl Lagerfeld Haute Couture Spring Summer 2015 fashion show for French fashion house Chanel in Paris January 27, 2015. REUTERS/Charles Platiau (FRANCE - Tags: FASHION ENTERTAINMENT HEADSHOT)

Published Feb 12, 2016

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Washington - Queen Elizabeth has it. So does fashion designer Victoria Beckham. And actress Kristen Stewart – poor thing, she’s practically the poster girl.

Among the slew of pop culture icons said to be afflicted with so-called Resting Bitch Face (alternatively known as Bitchy Resting Face), the vast majority are women, though Kanye West is among the male examples.

All of them have been mocked by internet commenters for having a certain unintentional expression when their faces are not in motion – a look best described as vaguely annoyed, maybe a little judgy, perhaps slightly bored.

Since the RBF meme took over the internet in 2013, legions of people have identified the dreaded phenomenon in celebrity listicles, in their own social circles, even in the mirror.

Jason Rogers and Abbe Macbeth, behavioural researchers with international research and innovation firm Noldus Information Technology, decided to investigate: Why are some faces seen as truly expressionless, but others are inexplicably off-putting? What, exactly, makes us register a seemingly neutral expression as RBF?

“We wanted this to be fun and kind of tongue-in-cheek, but also to have legitimate scientific data backing it up,” Macbeth said.

The researchers enlisted Noldus’s FaceReader, a sophisticated tool engineered to identify specific expressions based on a catalogue of more than 10 000 images of human faces.

The software, which can examine faces through a live camera, a photograph or a video clip, maps 500 points on the human face, then analyses the image and assigns an expression based on eight basic human emotions: happiness, sadness, anger, fear, surprise, disgust, contempt and “neutral”.

To establish a baseline, Rogers and Macbeth first had FaceReader assess a series of genuinely expressionless faces. Those expressions registered about 97 percent neutrality, Macbeth said. The remaining three percent included “little blips of emotion” – a touch of sadness here, a hint of surprise there, but nothing significant.

Then they plugged in photos of RBF all-stars Kanye West, Kristen Stewart and Queen Elizabeth. Suddenly, the level of emotion detected by the software doubled to six percent.

One particular emotion was responsible for the jump: “The big change in percentage came from ‘contempt’,” Macbeth said. And how exactly does a piece of software measure contempt in a face?

It’s in subtle signals, like “one side of the lip pulled back slightly, the eyes squinting a little”, Rogers explained.

“Or, it’s kind of a tightening around the eyes, and a little bit of raising of the corners of the lips – but not into a smile,” Macbeth suggested.

The cues are understated, yet the machine detects and interprets them the same way our human brains do, she said. “Something in the neutral expression of the face is relaying contempt, both to the software and to us.”

But there was one big difference, she added. FaceReader, being a piece of software and therefore immune to gender bias, proved to be the great equaliser: It detected RBF in male and female faces in equal measure.

Washington Post

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