Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.5K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.5K
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

7.1K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
7.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Toward a comprehensive account of verbal memory: An embedded computational model across representational domains.

Journal of experimental psychology. Learning, memory, and cognition·2026
Same author

Cue-driven attentional guidance nearly eliminates salience effects in working memory.

Journal of experimental psychology. Learning, memory, and cognition·2026
Same author

Long-term representational costs of overloading working memory.

Psychonomic bulletin & review·2026
Same author

The status and interpretation of neuropsychological evidence: Commentary on 'No evidence yet for functional independence of verbal short-term memory and long-term verbal knowledge' by Majerus, Cowan and Oberauer (2026).

Journal of neuropsychology·2026
Same author

No evidence yet for functional independence of verbal short-term memory and long-term verbal knowledge.

Journal of neuropsychology·2026
Same author

Colors, characters, locations, and shapes: The capacity of working memory for multiple, dissimilar sets of items.

Memory & cognition·2026
Same journal

Testing the predictions of a distinctiveness model of memory: The production effect in backward recall.

Journal of experimental psychology. Learning, memory, and cognition·2026
Same journal

On the impact of adjacency on transposed-word effects under serial presentation.

Journal of experimental psychology. Learning, memory, and cognition·2026
Same journal

It's time to opt out: Metacognitive analysis of time regulation under uncertainty.

Journal of experimental psychology. Learning, memory, and cognition·2026
Same journal

The role of statistical learning in attentional guidance during search through naturalistic scenes.

Journal of experimental psychology. Learning, memory, and cognition·2026
Same journal

Representing objects and features in long-term memory: A case for direct feature-feature binding.

Journal of experimental psychology. Learning, memory, and cognition·2026
Same journal

Crossmodal correspondences influence adaptation during rule-based category learning of objects.

Journal of experimental psychology. Learning, memory, and cognition·2026
See all related articles

Related Experiment Video

Updated: Feb 16, 2026

A Method for Investigating Change Blindness in Pigeons Columba Livia
06:14

A Method for Investigating Change Blindness in Pigeons Columba Livia

Published on: September 7, 2018

6.8K

Informed guessing in change detection.

Stephen Rhodes1, Nelson Cowan1, Kyle O Hardman1

  • 1Department of Psychological Sciences, University of Missouri.

Journal of Experimental Psychology. Learning, Memory, and Cognition
|December 22, 2017
PubMed
Summary
This summary is machine-generated.

Participants can use their knowledge of items in working memory to inform guessing strategies in change detection tasks. This cognitive characteristic helps refine understanding of memory capacity and decision-making processes.

More Related Videos

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.9K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.7K

Related Experiment Videos

Last Updated: Feb 16, 2026

A Method for Investigating Change Blindness in Pigeons Columba Livia
06:14

A Method for Investigating Change Blindness in Pigeons Columba Livia

Published on: September 7, 2018

6.8K
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.9K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.7K

Area of Science:

  • Cognitive Psychology
  • Human Memory Research

Background:

  • Change detection tasks assess working memory capacity.
  • The process is often viewed as all-or-none: information is either in working memory or guessed.

Purpose of the Study:

  • To investigate if observers use knowledge of items in working memory to guide guessing.
  • To test informed guessing strategies in change detection paradigms.

Main Methods:

  • Two versions of the change detection task were employed.
  • Four experiments were conducted to analyze guessing behavior.

Main Results:

  • Participants demonstrated the ability to use task parameters to update change expectations.
  • Evidence suggests informed guessing based on working memory content.

Conclusions:

  • Observers can leverage knowledge of working memory contents for more informed guessing.
  • This finding refines models of working memory and decision-making under uncertainty.