Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1782366407951908864 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4395266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kleinbergbennett memorydetection20thefirstwebbasedmemorydetectiontest AT verschuerebruno memorydetection20thefirstwebbasedmemorydetectiontest |