We learn to lie as children, between the ages of two and five. By adulthood, we are prolific. We lie to our employers, our partners and, most of all, one study has found, to our mothers. The average person hears up to 200 lies a day, according to research by Jerry Jellison, a psychologist at the University of Southern California. The majority of the lies we tell are "white", the inconsequential niceties – "I love your dress!" – that grease the wheels of human interaction. But most people tell one or two "big" lies a day, says Richard Wiseman, a psychologist at the University of Hertfordshire. We lie to promote ourselves, protect ourselves and to hurt or avoid hurting others. The mystery is how we keep getting away with it. Our bodies expose us in every way. We stutter, stall and make Freudian slips.
Looking for tiny facial tics from opponents has been used by poker players for decades as a way to spot a bluff, but now Chinese scientists are using the same technique to develop a lie detector. They have created an online polygraph that uses facial recognition to study minute changes in facial expression, skin colour, temperature and heart rate - all of which could reveal a lie. The machine is also fitted with artificial intelligence to analyse visual and voice data to look for such changes that indicate someone is not being truthful. Scientists in China have developed a polygraph that combines artificial intelligence with facial recognition. It assesses changes in facial expression, skin colour, temperature as well as voice to spot if someone is telling the truth or not.
Very soon, your phone might be able to tell if you are lying or telling the truth. There is new machine algorithm wants to tap into the digital interactions that reveal when you are bluffing. Researchers have been finding some ways in which they can turn your phone into a lie detector instrument. There is a new machine learning algorithm which has been built by computer scientists at the University of Copenhagen which can detect honesty and dishonesty by analyzing the way you swipe or tap a smartphone. The research is based on the assumption that dishonesty interactions always take longer and involve more hand movement than honesty interaction.
In a secure basement room of the US Capitol building, senators are reading a secretive FBI report into allegations of sexual misconduct made against Supreme Court nominee Brett Kavanaugh. The contents of the report are not meant to be revealed, and there has been some criticism that the scope of the investigation has not been wide enough. Throughout the investigation senior Democrats have called for Mr Kavanaugh to take a lie detector test. One of his accusers, Christine Blasey Ford, has already done so. But how accurate are these tests?
Sitting in front of a Converus EyeDetect station, it's impossible not to think of Blade Runner. In the 1982 sci-fi classic, Harrison Ford's rumpled detective identifies artificial humans using a steam-punk Voight-Kampff device that watches their eyes while they answer surreal questions. EyeDetect's questions are less philosophical, and the penalty for failure is less fatal (Ford's character would whip out a gun and shoot). But the basic idea is the same: By capturing imperceptible changes in a participant's eyes--measuring things like pupil dilation and reaction time--the device aims to sort deceptive humanoids from genuine ones. It claims to be, in short, a next-generation lie detector.