We’ve seen it in movies and we probably have experienced it ourselves, but when confronted with a lie, we are asked to look at the person directly in their eye and tell them that we are not lying, and now instead of a person trying to judge if you’re telling the truth, a machine might be able to do that in the future thanks to research being carried out at the University of Buffalo Center for Unified Biometrics and Sensors (CUBS).
According to reports, a trained professional has an accuracy of about 65% when it comes to detecting a lie, but thanks to the research conducted by CUBS which has resulted in an automated eye tracking machine, it seems that the machine’s accuracy is that of 82.5% (based on 40 conversations that the machine viewed) which is apparently a good sight higher than what a fully trained human with years of experience can achieve.
The reason behind the use of this machine is that when we lie, our eyes are usually one of the indicators that gives us away. Rapid eye movement during the course of questioning would suggest that a lie is being told, and combining that with the study of facial expressions, body language and temperature, catching a skilled liar in the act might not be so difficult in the future anymore.
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