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System of Memory

System of Memory

Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...

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Related Experiment Video

Updated: Apr 14, 2026

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory

Published on: January 31, 2017

Memory detection 2.0: the first web-based memory detection test.

Bennett Kleinberg¹, Bruno Verschuere²

¹Department of Clinical Psychology, University of Amsterdam, Amsterdam, The Netherlands.

|April 16, 2015

Summary

This summary is machine-generated.

Reaction times (RTs) can detect concealed information, outperforming error rates. A new web-based test enhances memory detection research efficiency and validity with larger samples.

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Area of Science:

Cognitive Psychology
Forensic Psychology
Psychometric Measurement

Background:

Reaction times (RTs) show promise for detecting concealed information, particularly critical details.
Previous RT-based memory detection studies suffer from small sample sizes and potential publication bias.
Advancing memory detection requires larger-scale, reliable research methodologies.

Purpose of the Study:

To develop and validate the first web-based platform for reaction time (RT)-based memory detection.
To assess the efficacy of the web-based platform in detecting concealed autobiographical information.
To compare the performance of RTs against error rates in memory detection tasks.

Main Methods:

Development of a novel web-based memory detection test.
Recruitment of large participant samples (Study 1: n=255, Study 2: n=262).
Participants attempted to conceal autobiographical details of varying salience (high: birthday, country of origin; low: favorite color, animal).

Main Results:

RTs successfully detected concealed autobiographical information.
RT-based detection significantly outperformed error rates.
High-salience details were detected more effectively than low-salience details.

Conclusions:

The developed web-based platform offers an efficient and valid method for RT-based memory detection research.
This "memory detection 2.0" advances the field by enabling larger-scale studies.
Further research is needed to fully understand the capabilities and limitations of this approach.