If you want to fake it, don't do it around this computer


  • TECH
  • Monday, 24 Mar 2014

BETTER AT DETECTING PAIN: Scientists have developed a computer system with sophisticated pattern recognition abilities that performed much better than humans in differentiating between people experiencing genuine pain and people who were just faking it. — ©AFP/Relaxnews 2014

WASHINGTON: In the ever-expanding contest between artificial intelligence and the ordinary human mind, you can chalk up another one for the computer. 

Scientists have developed a computer system with sophisticated pattern recognition abilities that performed much better than humans in differentiating between people experiencing genuine pain and people who were just faking it. 

In a study published in the journal Current Biology this week, human subjects did no better than chance — about 50% — in correctly judging if a person was feigning pain after seeing videos in which some people were and some were not. 

The computer was right 85% of the time. Why? The researchers say its pattern-recognition abilities successfully spotted distinctive aspects of facial expressions, particularly involving mouth movements, that people generally missed. 

"We all know that computers are good at logic processes and they've long out-performed humans on things like playing chess," said Marian Bartlett of the Institute for Neural Computation at the University of California-San Diego, one of the researchers. 

"But in perceptual processes, computers lag far behind humans and have a lot of trouble with perceptual processes that humans tend to find easy, including speech recognition and visual recognition. Here's an example of a perceptual process that the computer is able to do better than human observers," Bartlett said in a telephone interview. 

For the experiment, 25 volunteers each recorded two videos. 

In the first, each of the volunteers immersed an arm in lukewarm water for a minute and were told to try to fool an expert into thinking they were in pain. In the second, the volunteers immersed an arm in a bucket of frigid ice water for a minute, a genuinely painful experience, and were given no instructions on what to do with their facial expressions. 

The researchers asked 170 other volunteers to assess which people were in real discomfort and which were faking it. 

After they registered a 50% accuracy rate, which is no better than a coin flip, the researchers gave the volunteers training in recognising when someone was faking pain. Even after this, the volunteers managed an accuracy rate of only 55%. 

The computer's vision system included a video camera that took images of a person's facial expressions and decoded them. The computer had been programmed to recognise that one kind of facial movement combinations suggested true pain and another kind suggested faked pain. 

"It's looking at what 20 facial muscles are doing in every frame of video," Bartlett added. 

'Sadness at a funeral' 

So why are people so lousy at spotting a faker? The human face transmits an abundance of information including expressions of emotion and pain. But people also are adept at simulating emotions, some are so good they routinely can deceive others. 

"Human facial expressions sometimes convey genuinely felt emotions, and some other times convey emotions not felt but required by a particular social context, for example expressing gratitude after receiving a terrible gift or sadness at a funeral," said the University of Toronto's Kang Lee, who studies lying in children and adults and was one of the scientists who conducted the research. 

The computer system proved far better than people at spotting subtle differences between involuntary and voluntary facial movements that underpin sincerity, the researchers said. 

"We can envisage in the very near future a widely available and inexpensive computer vision system that is capable of recognising subtle emotions," Lee said by e-mail. 

"Such a system can not only be used to detect deception to prevent medical fraud or to help homeland security but also recognise emotional states of patients who may not be able to communicate very well due to impairments or inability." 

Such a system also potentially could be used in law enforcement and screening job applicants, the researchers said. 

Bartlett co-founded a San Diego-based start-up company called Emotient Inc to find commercial applications for the facial expression recognition system, focusing on the retail and healthcare fields, she said. — Reuters 

Article type: metered
User Type: anonymous web
User Status:
Campaign ID: 1
Cxense type: free
User access status: 3
   

Did you find this article insightful?

Yes
No

Next In Tech News

Twitter wants you to think twice before posting that reply
Oxford University says research not affected after media reports of COVID lab hack
Robinhood added 6 million crypto users in last two months
Microsoft failed to shore up defenses that could have limited SolarWinds hack - U.S. senator
Dell beats revenue estimates on buoyant demand for desktops, notebooks
ByteDance agrees to $92 million privacy settlement with U.S. TikTok users
Blue Origin delays New Glenn rocket launch to 2022
Wix.com hits 200 million users, says will continue to invest
Pandemic, EU billions drive Greece's digital revolution
Twitter aims to double revenue by 2023, teases new 'super follow' feature

Stories You'll Enjoy


Vouchers