Clusters of nonverbal behavior differentiate truths and lies about future malicious intent in checkpoint screening interviews.

Recent research has shown that nonverbal behavior (NVB) assessed across multiple channels can differentiate truthtellers from liars. No study, however, has examined whether or not multiple NVBs can differentiate truths from lies about intent regarding future malicious behavior, or across multiple cultural/ethnic groups. We address this gap by examining truths and lies about intent to commit a malicious act in the future in brief, checkpoint-type security screening interviews. Data from four NVB channels producing twenty-one observable NVBs were coded and analyzed using different analytic strategies. Clusters of NVB were found to differentiate truthtellers from liars at statistically significant levels, and substantially beyond the ability of human observers. The findings showed that clusters of NVB can differentiate truthtellers from liars even in brief, checkpoint-type interviews.