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Memory Detection 2.0: The First Web-Based Memory Detection Test

There is accumulating evidence that reaction times (RTs) can be used to detect recognition of critical (e.g., crime) information. A limitation of this research base is its reliance upon small samples (average n = 24), and indications of publication bias. To advance RT-based memory detection, we repo...

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Detalles Bibliográficos
Autores principales: Kleinberg, Bennett, Verschuere, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395266/
https://www.ncbi.nlm.nih.gov/pubmed/25874966
http://dx.doi.org/10.1371/journal.pone.0118715
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author Kleinberg, Bennett
Verschuere, Bruno
author_facet Kleinberg, Bennett
Verschuere, Bruno
author_sort Kleinberg, Bennett
collection PubMed
description There is accumulating evidence that reaction times (RTs) can be used to detect recognition of critical (e.g., crime) information. A limitation of this research base is its reliance upon small samples (average n = 24), and indications of publication bias. To advance RT-based memory detection, we report upon the development of the first web-based memory detection test. Participants in this research (Study1: n = 255; Study2: n = 262) tried to hide 2 high salient (birthday, country of origin) and 2 low salient (favourite colour, favourite animal) autobiographical details. RTs allowed to detect concealed autobiographical information, and this, as predicted, more successfully so than error rates, and for high salient than for low salient items. While much remains to be learned, memory detection 2.0 seems to offer an interesting new platform to efficiently and validly conduct RT-based memory detection research.
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spelling pubmed-43952662015-04-21 Memory Detection 2.0: The First Web-Based Memory Detection Test Kleinberg, Bennett Verschuere, Bruno PLoS One Research Article There is accumulating evidence that reaction times (RTs) can be used to detect recognition of critical (e.g., crime) information. A limitation of this research base is its reliance upon small samples (average n = 24), and indications of publication bias. To advance RT-based memory detection, we report upon the development of the first web-based memory detection test. Participants in this research (Study1: n = 255; Study2: n = 262) tried to hide 2 high salient (birthday, country of origin) and 2 low salient (favourite colour, favourite animal) autobiographical details. RTs allowed to detect concealed autobiographical information, and this, as predicted, more successfully so than error rates, and for high salient than for low salient items. While much remains to be learned, memory detection 2.0 seems to offer an interesting new platform to efficiently and validly conduct RT-based memory detection research. Public Library of Science 2015-04-13 /pmc/articles/PMC4395266/ /pubmed/25874966 http://dx.doi.org/10.1371/journal.pone.0118715 Text en © 2015 Kleinberg, Verschuere http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kleinberg, Bennett
Verschuere, Bruno
Memory Detection 2.0: The First Web-Based Memory Detection Test
title Memory Detection 2.0: The First Web-Based Memory Detection Test
title_full Memory Detection 2.0: The First Web-Based Memory Detection Test
title_fullStr Memory Detection 2.0: The First Web-Based Memory Detection Test
title_full_unstemmed Memory Detection 2.0: The First Web-Based Memory Detection Test
title_short Memory Detection 2.0: The First Web-Based Memory Detection Test
title_sort memory detection 2.0: the first web-based memory detection test
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395266/
https://www.ncbi.nlm.nih.gov/pubmed/25874966
http://dx.doi.org/10.1371/journal.pone.0118715
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