Johnson M M, Rosenfeld J P
Northwestern University, Department of Psychology, Evanston, IL 60208.
Int J Psychophysiol. 1992 May;12(3):289-306. doi: 10.1016/0167-8760(92)90067-l.
We used a deception paradigm modeled on the type used for pre-employment screening procedures. Our novel dependent measure was P300 amplitude. Event-related potentials (ERPs) were recorded while subjects were presented with a list of eight antisocial acts one at a time, and one target-response phrase to which a 'yes' button press was required. Subjects were instructed to try to escape detection during the ERP test if they were guilty of any of the acts. After the ERP test, ground truth was established by the completion of an innocent/guilty check list of antisocial acts under perceived anonymous conditions tending to favor honest responding. Subjects were classified as innocent (n = 14) or guilty (n = 17) based on their check list response to the relevant act 'Used Falsified ID'. When comparing the P300 amplitudes in response to the relevant and to another act, we found that most group analyses revealed significant differences between guilty and innocent subjects. The subjects were also individually classified by a 3-step algorithm which involved: (1) a bootstrap amplitude test that compared the bootstrapped amplitudes of the P300s to the relevant and to another act; (2) relevant-to-target item P300 amplitude ratios; and (3) relevant act P300 amplitudes. Overall, the algorithm yielded 87% accuracy. The present study was intended to be an advance over our previous study (Rosenfeld, et al., 1991), in which we correctly classified 89% of the subjects using a similar P300-based deception detection paradigm. However, the possible confounding limitation of that study was that subjects had to complete an innocent/guilty check list of their antisocial acts prior to the ERP test. The present study investigated the accuracy of the P300-based test when subjects did not admit or selectively rehearse their guilt of the relevant act prior to the ERP test.
我们采用了一种基于用于入职前筛查程序的欺骗范式。我们新的因变量是P300波幅。在向受试者依次呈现一系列八项反社会行为以及一个需要按下“是”按钮进行回应的目标反应短语时,记录事件相关电位(ERP)。受试者被指示,如果他们犯有任何一项行为,要在ERP测试期间试图逃避检测。在ERP测试之后,通过在倾向于鼓励诚实作答的看似匿名的条件下完成一份反社会行为的无辜/有罪清单来确定真实情况。根据受试者对相关行为“使用伪造身份证件”的清单回应,将他们分为无辜组(n = 14)或有罪组(n = 17)。当比较对相关行为和另一行为的P300波幅时,我们发现大多数组分析显示有罪和无辜受试者之间存在显著差异。受试者还通过一种三步算法进行个体分类,该算法包括:(1)一种自举幅度测试,将P300的自举幅度与相关行为和另一行为进行比较;(2)相关项与目标项的P300波幅比率;以及(3)相关行为的P300波幅。总体而言,该算法的准确率为87%。本研究旨在超越我们之前的研究(罗森菲尔德等人,1991年),在之前的研究中,我们使用类似的基于P300的欺骗检测范式正确分类了89%的受试者。然而,该研究可能存在的混杂局限性在于,受试者必须在ERP测试之前完成一份关于他们反社会行为的无辜/有罪清单。本研究调查了在ERP测试之前受试者不承认或不选择性地详述其相关行为罪行时基于P300测试的准确性。