Subliminal salience search illustrated: EEG identity and deception detection on the fringe of awareness

We propose a novel deception detection system based on Rapid Serial Visual Presentation (RSVP). One motivation for the new method is to present stimuli on the fringe of awareness, such that it is more difficult for deceivers to confound the deception test using countermeasures. The proposed system i...

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Bibliographic Details
Published inPloS one Vol. 8; no. 1; p. e54258
Main Authors Bowman, Howard, Filetti, Marco, Janssen, Dirk, Su, Li, Alsufyani, Abdulmajeed, Wyble, Brad
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 23.01.2013
Public Library of Science (PLoS)
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Summary:We propose a novel deception detection system based on Rapid Serial Visual Presentation (RSVP). One motivation for the new method is to present stimuli on the fringe of awareness, such that it is more difficult for deceivers to confound the deception test using countermeasures. The proposed system is able to detect identity deception (by using the first names of participants) with a 100% hit rate (at an alpha level of 0.05). To achieve this, we extended the classic Event-Related Potential (ERP) techniques (such as peak-to-peak) by applying Randomisation, a form of Monte Carlo resampling, which we used to detect deception at an individual level. In order to make the deployment of the system simple and rapid, we utilised data from three electrodes only: Fz, Cz and Pz. We then combined data from the three electrodes using Fisher's method so that each participant was assigned a single p-value, which represents the combined probability that a specific participant was being deceptive. We also present subliminal salience search as a general method to determine what participants find salient by detecting breakthrough into conscious awareness using EEG.
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Competing Interests: The authors have declared that no competing interests exist.
Conceived and designed the experiments: HB DJ MF BW. Performed the experiments: MF AA. Analyzed the data: MF HB. Contributed reagents/materials/analysis tools: MF SL HB. Wrote the paper: HB MF.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0054258