Lie detection software learns from real court cases

Machine learning has been used to make computers guess your age, count calories and even do our jobs, but University of Michigan researchers are applying it to lie detection. In this case they used testimony from real court cases to try and decipher a liar’s tells when the stakes are at their highest. Considering both the words and gestures of the person speaking, they claim it was up to 75 percent accurate at identifying if a person is lying or telling the truth, while humans could only tell 50 percent of the time. To identify liars the software keyed on behaviors such as looking directly at the questioner, speaking with more vocal fill and counting gestures. Professor of computer science and engineering Rada Mihalcea said people focus on higher levels…


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