Breakthrough percepts of famous names
Autor: | Howard Bowman, Kathryn Harris, Abdulmajeed Alsufyani, Alexia Zoumpoulaki, Marco Filetti |
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Přispěvatelé: | Department of Computer Science, Helsinki Institute for Information Technology |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Rapid serial visual presentation
515 Psychology Cognitive Neuroscience media_common.quotation_subject Speech recognition SUBJECTS OWN NAME POTENTIALS Experimental and Cognitive Psychology 3124 Neurology and psychiatry 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine FACE Salience (neuroscience) FAMILIARITY ATTENTIONAL BLINK Humans Names 0501 psychology and cognitive sciences EEG QA Group level SUPPRESSION media_common 05 social sciences Famous names COST Concealed knowledge test Recognition Psychology Deception Individual level Neuropsychology and Physiological Psychology Fringe-P3 Identity (object-oriented programming) Psychology 030217 neurology & neurosurgery |
ISSN: | 0010-9452 |
Popis: | 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. (c) 2021 Elsevier Ltd. All rights reserved. |
Databáze: | OpenAIRE |
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