Alsufyani, Abdulmajeed, Harris, Kathryn, Zoumpoulaki, Alexia, Filetti, Marco, Bowman, Howard (2021) Breakthrough percepts of famous names. Cortex, 139 . pp. 267-281. ISSN 0010-9452. (doi:10.1016/j.cortex.2021.02.030) (KAR id:94138)
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| Official URL: https://doi.org/10.1016/j.cortex.2021.02.030 |
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| Resource title: | Generalising the Fringe-P3 Method for the Detection of Deception and Concealed Information Through Investigations into Stimuli and Analyses |
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| Resource type: | Thesis |
| DOI: | 10.22024/UniKent/01.02.94071 |
| KDR/KAR URL: | https://kar.kent.ac.uk/94071/ |
| External URL: | https://doi.org/10.22024/UniKent/01.02.94071 |
Abstract
Studies have shown that presenting own-name stimuli on the fringe of awareness in Rapid Serial Visual Presentation (RSVP) generates a P3 component and provides an accurate and countermeasure resistant method for detecting identity deception (Bowman et al., 2013, 2014). The current study investigates how effective this Fringe-P3 method is at detecting recognition of familiar name stimuli with lower salience (i.e. famous names) than own-name stimuli, as well as its accuracy with multi-item stimuli (i.e. first and second name pairs presented sequentially). The results demonstrated a highly significant ERP difference between famous and non famous names at the group level and a detectable P3 for famous names for 86% of participants at the individual level. This demonstrates that the Fringe-P3 method can be used for detecting name stimuli other than own-names and for multi-item stimuli, thus further supporting the method’s potential usefulness in forensic applications such as in detecting recognition of accomplices.
| Item Type: | Article |
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| DOI/Identification number: | 10.1016/j.cortex.2021.02.030 |
| Uncontrolled keywords: | EEG, Rapid Serial Visual Presentation, Concealed Knowledge Test, Fringe-P3, Famous Names |
| Subjects: | Q Science > QA Mathematics (inc Computing science) |
| Institutional Unit: | Schools > School of Computing |
| Former Institutional Unit: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
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| Depositing User: | Kathryn Harris |
| Date Deposited: | 25 Apr 2022 10:03 UTC |
| Last Modified: | 22 Jul 2025 09:10 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/94138 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0003-3576-5970
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