Detecting deception through facial expressions in a dataset of videotaped interviews: A comparison between human judges and machine learning models
Abstract
In the last decades, research has claimed facial micro-expressions are a reliable means to detect deception. However, experimental results showed that trained and naïve human judges observing facial micro-expressions can distinguish liars from truth-tellers with an accuracy just slightly above the chance level. More promising results recently came from the field of artificial intelligence, in which machine learning (ML) techniques are used to...
Paper Details
Title
Detecting deception through facial expressions in a dataset of videotaped interviews: A comparison between human judges and machine learning models
Published Date
Feb 1, 2022
Journal
Volume
127
Pages
107063 - 107063
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