Detecting deception through facial expressions in a dataset of videotaped interviews: A comparison between human judges and machine learning models

作者：

Highlights：

• Automatic systems are better than humans in detecting deception from videos.

• AI is a promising methodology to detect deception through facial micro-expressions.

• AI performs better when the cognitive load of the interviewees is increased.

• SVM is more able in distinguish liars from truth-tellers when trained with AUs as features.

摘要

•Automatic systems are better than humans in detecting deception from videos.•AI is a promising methodology to detect deception through facial micro-expressions.•AI performs better when the cognitive load of the interviewees is increased.•SVM is more able in distinguish liars from truth-tellers when trained with AUs as features.

论文关键词：Facial micro-expressions,Deception detection,Machine learning,Deep learning,Low-stakes lies

论文评审过程：Received 1 May 2021, Revised 30 September 2021, Accepted 16 October 2021, Available online 20 October 2021, Version of Record 23 October 2021.

论文官网地址：https://doi.org/10.1016/j.chb.2021.107063