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

9.0K
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...
9.0K
Cognitivism01:17

Cognitivism

2.9K
Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
2.9K
Parallel Processing01:20

Parallel Processing

950
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
950
Perceptual Constancy01:12

Perceptual Constancy

1.8K
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
1.8K
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

989
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
989
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

2.7K
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
2.7K

You might also read

Related Articles

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

Sort by
Same author

Transitions in exercise motive profiles and their association with physical activity adherence among low-active middle-aged adults: An exploratory ancillary analysis.

Psychology of sport and exercise·2026
Same author

Stimulus Predictability and Liking Enhance Auditory-Motor Encoding and Memory for Melodies.

Annals of the New York Academy of Sciences·2026
Same author

A multicomponent behavior change intervention to promote walking in adults after traumatic brain injury: A Pilot Randomized Control Trial.

medRxiv : the preprint server for health sciences·2026
Same author

Physical activity, aerobic fitness, and AD blood biomarkers: The IGNITE study.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Feasibility and exploratory cognitive outcomes of three exercise modalities in oldest-old adults in assisted living facilities: A 24-week pilot randomized controlled trial.

Journal of affective disorders·2026
Same author

Lifespan exposure to hormone therapies and structural brain morphometry in older women.

NeuroImage·2026
Same journal

Colour blindness adversely impacts face recognition.

Visual cognition·2026
Same journal

Confidence in incomplete visual search.

Visual cognition·2026
Same journal

The Predictive Ability of GBVS Feature Channels on Infants' Fixations of Natural Scenes.

Visual cognition·2025
Same journal

Learned relevance of a distracting cue can influence feature interference errors.

Visual cognition·2025
Same journal

How Does Mind-Wandering Affect Distractor Suppression?

Visual cognition·2025
Same journal

Incidental Learning of Temporal and Spatial Associations in Hybrid Search.

Visual cognition·2025
See all related articles

Related Experiment Video

Updated: Apr 30, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.2K

Blur Detection is Unaffected by Cognitive Load.

Lester C Loschky1, Ryan V Ringer1, Aaron P Johnson2

  • 1Department of Psychological Sciences, Kansas State University, Manhattan, KS, USA.

Visual Cognition
|April 29, 2014
PubMed
Summary
This summary is machine-generated.

Blur detection in real-world scenes appears unaffected by attentional resources. Cognitive load, manipulated via the N-back task, did not alter participants' ability to detect blur across different retinal eccentricities.

Keywords:
attentionblur detectioncognitive loadeye movementsretinal eccentricity

More Related Videos

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
10:38

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

12.7K
Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
07:08

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

1.2K

Related Experiment Videos

Last Updated: Apr 30, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.2K
A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
10:38

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

12.7K
Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
07:08

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

1.2K

Area of Science:

  • Visual perception
  • Cognitive neuroscience

Background:

  • Blur detection is influenced by retinal eccentricity.
  • Selective attention impacts visual acuity and contrast sensitivity, suggesting it might aid blur detection.
  • Conversely, blur influences saccade target selection, hinting at pre-attentive processing.

Purpose of the Study:

  • To investigate whether attentional resources affect blur detection in real-world scenes.
  • To determine if cognitive load, manipulated by the N-back task, influences blur detection thresholds.
  • To examine the interplay between retinal eccentricity and attentional load on blur perception.

Main Methods:

  • Experiments utilized adaptive threshold estimation to measure blur detection at various retinal eccentricities (0°, 3°, 6°, 9°).
  • Participants performed blur detection tasks under different cognitive loads (0- to 3-back N-back task).
  • Two experimental setups were used: gaze-contingent blur presentation and tachistoscopic presentation to rule out attentional capture by blur onset.

Main Results:

  • A significant effect of retinal eccentricity on blur detection thresholds was observed.
  • Cognitive load (N-back level) significantly impacted N-back performance, scene recognition memory, and gaze dispersion.
  • Crucially, cognitive load did not significantly affect blur detection thresholds in either experimental setup.

Conclusions:

  • Blur detection in real-world scene images is apparently independent of attentional resources.
  • The findings suggest that blur detection may be a pre-attentive process, unaffected by cognitive demands.
  • The results held true regardless of the presentation method, reinforcing the lack of attentional influence.