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The comparison of Bootstrapping analyses in P300-CIT

Abstract

The Concealed Information Test based on P300 (P300-CIT), which has been widely used in detecting deception, uses mainly target, probe, and irrelevant stimuli to obtain P300 event-related potentials (ERPs) and compares them to judge guilty or innocent. Researchers have used the applications of bootstrapping as the useful methods for determining significant difference between P300 ERP components of the stimuli. However, relatively few research comparing the classification accuracy of the bootstrapping analyses have been reported. On the basis of previous research, six widely used bootstrapping methods (bootstrapped correlation difference (BCD), base-to-peak bootstrapped amplitude difference (BAD) peak-to-peak BAD, modified BCD, modified base-to-peak BAD, modified peak-to-peak BAD) were selected and compared. Thirty participants were randomly assigned to the guilty and innocent groups. The P300 components were acquired to compare the classification accuracies by different bootstrapping analyses. Using 90% confidence level, which has been most widely used, as a guilty criterion of bootstrapping index, the peak-to-peak BAD showed the highest accuracy. On the other hand, the BCD methods showed relatively lower accuracy. Furthermore, the modified BAD methods applied to the other criteria including indeterminate category(90%/30%, 60%/40% confidence level) showed high level of accuracy with reduced rate in indeterminate category.

keywords
Concealed Information Test, Lie detection, Bootstrap, P300, Classification Accuracy, 숨김정보검사, 거짓말 탐지, 부트스트랩, P300, 탐지정확률

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