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 Experiment Videos

The relationship between search efficiency and crowding.

Carolina Gheri1, Michael J Morgan, Joshua A Solomon

  • 1Department of Optometry and Visual Science, City University, Northampton Square, London EC1V 0HB, UK. gherca@hotmail.com

Perception
|February 21, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Visual perception of longitudinal waves: theory and observations.

Scientific reports·2026
Same author

Is there more to adaptation than meets the eye?

Vision research·2026
Same author

The Impact of Induced Optical Blur on Monocular and Binocular Depth-Related Visuomotor Task Performance.

Investigative ophthalmology & visual science·2025
Same author

A visual search asymmetry for plaids.

Perception·2025
Same author

Depth-Related Visuomotor Performance in Keratoconus and Its Relationship to Stereopsis.

Investigative ophthalmology & visual science·2025
Same author

RIPK3 in necroptosis and cancer.

Molecules and cells·2025
Same journal

Predictive models and parameter analysis for multiple tactile perceptions in skin-wet fabrics interface.

Perception·2026
Same journal

High-resolution kitsch by AI: Why society needs art, not more AI content.

Perception·2026
Same journal

Benchmarking spatial discrimination thresholds of two-frame motion defined forms compared to luminance and stereoscopic defined forms.

Perception·2026
Same journal

The effect of face masks on the perception of trustworthiness and competence in individuals with autistic traits.

Perception·2026
Same journal

The importance of external features for categorizing ethnicity: can Koreans identify Korean, Japanese, and Chinese faces?

Perception·2026
Same journal

Interoception, alexithymia, and motor congruency: Psychological drivers of body ownership in virtual reality.

Perception·2026
See all related articles

Target salience, measured by search efficiency, was investigated in visual crowding. Unique colors or motion directions allowed targets to "pop out," weakening crowding effects and improving visual acuity.

Area of Science:

  • Visual perception
  • Cognitive psychology
  • Experimental psychology

Background:

  • Visual crowding, a phenomenon where target identification is impaired by surrounding stimuli, is poorly understood due to difficulties in objectively measuring target salience.
  • Previous research has struggled to quantify target salience, a key factor influencing crowding.

Purpose of the Study:

  • To objectively measure target salience using search efficiency.
  • To investigate the relationship between target salience and visual crowding.
  • To determine how unique visual features (color, motion, temporal frequency) affect crowding.

Main Methods:

  • Experiments involved observers identifying targets with unique features (color, motion, temporal frequency) within parafoveal arrays of Gabor patterns.

Related Experiment Videos

  • Search efficiency was analyzed using reaction-time gradients and accuracy gradients.
  • Orientation acuity was measured to quantify the impact of crowding.
  • Main Results:

    • Targets with unique colors or motion directions exhibited 'pop-out' effects, with near-zero reaction-time and accuracy gradients.
    • These unique targets showed significantly greater orientation acuity compared to targets without unique features.
    • Temporal frequency manipulation resulted in a range of search efficiencies, with a linear relationship between acuity and accuracy gradients for most observers.

    Conclusions:

    • Crowding is significantly weakened when targets possess unique features that facilitate rapid and accurate identification.
    • Search efficiency serves as a reliable objective measure of target salience in visual crowding.
    • Understanding target salience is crucial for explaining and mitigating visual crowding effects.