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.

最近的研究表明，跨多个渠道评估的非语言行为 (NVB) 可以区分说真话和说谎者。然而，没有研究检查多个 NVB 是否可以区分关于未来恶意行为或跨多个文化/种族群体的意图的真相和谎言。我们通过在简短的检查点式安全检查访谈中检查有关未来实施恶意行为的意图的真相和谎言来解决这一差距。使用不同的分析策略对产生 21 个可观察 NVB 的四个 NVB 通道的数据进行编码和分析。发现 NVB 集群在统计上显着水平上区分说真话者和说谎者，并且大大超出了人类观察者的能力。