记忆检测2.0：首个基于网络的记忆检测测试。
Memory detection 2.0: the first web-based memory detection test.
作者信息
Kleinberg Bennett, Verschuere Bruno
机构信息
Department of Clinical Psychology, University of Amsterdam, Amsterdam, The Netherlands.
Department of Clinical Psychology, University of Amsterdam, Amsterdam, The Netherlands; Department of Psychology, Ghent University, Ghent, Belgium; Department of Clinical Psychological Science, Maastricht University, Maastricht, The Netherlands.
出版信息
PLoS One. 2015 Apr 13;10(4):e0118715. doi: 10.1371/journal.pone.0118715. eCollection 2015.
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.
越来越多的证据表明，反应时间（RTs）可用于检测对关键（如犯罪）信息的识别。该研究基础的一个局限性在于其对小样本（平均n = 24）的依赖以及存在发表偏倚的迹象。为了推进基于反应时间的记忆检测，我们报告了首个基于网络的记忆检测测试的开发情况。本研究的参与者（研究1：n = 255；研究2：n = 262）试图隐瞒2个高显著性（生日、原籍国）和2个低显著性（最喜欢的颜色、最喜欢的动物）的自传性细节。反应时间能够检测出被隐瞒的自传性信息，正如预期的那样，与错误率相比，它能更成功地做到这一点，而且对于高显著性项目比低显著性项目更有效。虽然仍有许多有待了解的地方，但记忆检测2.0似乎提供了一个有趣的新平台，可用于高效且有效地开展基于反应时间的记忆检测研究。
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