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

Critical color differences determined with a visual search task.

A L Nagy1, R R Sanchez

  • 1Department of Psychology, Wright State University, Dayton, Ohio 45435.

Journal of the Optical Society of America. A, Optics and Image Science
|July 1, 1990
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

Quercetin in association with moderate exercise training attenuates injuries induced by experimental diabetes in sciatic nerves.

Journal of physiology and pharmacology : an official journal of the Polish Physiological Society·2018
Same author

Histological changes in the vulva and vagina from ovariectomised rats undergoing oestrogen treatment.

Folia morphologica·2016
Same author

Protective effects of Quercetin and chronic moderate exercise (training) against oxidative stress in the liver tissue of streptozotocin-induced diabetic rats.

Physiology international·2016
Same author

Set-size and chromatic uncertainty in an accuracy visual search task.

Vision research·2001
Same author

Uncertainty, attentional capacity and chromatic mechanisms in visual search.

Vision research·2001
Same author

The achromatic mechanism and mechanisms tuned to chromaticity and luminance in visual search.

Journal of the Optical Society of America. A, Optics, image science, and vision·2000
Same journal

Phase retrieval with prior information.

Journal of the Optical Society of America. A, Optics and image science·2008
Same journal

Clinical microscopy of the cornea utilizing optical sectioning and a high-numerical-aperture objective.

Journal of the Optical Society of America. A, Optics and image science·1993
Same journal

Eye-tracking laser Doppler velocimeter stabilized in two dimensions: principle, design, and construction.

Journal of the Optical Society of America. A, Optics and image science·1993
Same journal

Effects of aging in retinal image quality.

Journal of the Optical Society of America. A, Optics and image science·1993
Same journal

Axial eye-length measurement by wavelength-shift interferometry.

Journal of the Optical Society of America. A, Optics and image science·1993
Same journal

Fractal analysis of steady-state-flicker visual evoked potentials: feasibility.

Journal of the Optical Society of America. A, Optics and image science·1993
See all related articles

Visual search speed depends on color difference. Large color differences enable parallel processing, while small differences necessitate slower serial processing for target identification.

Area of Science:

  • Cognitive Psychology
  • Visual Perception
  • Color Science

Background:

  • Visual search tasks are fundamental to understanding visual processing.
  • Distinguishing targets from distractors based on color is a common perceptual challenge.
  • The efficiency of visual search is influenced by stimulus properties like color difference.

Purpose of the Study:

  • To investigate how color differences affect the efficiency of visual search.
  • To determine the relationship between the magnitude of color difference and search strategy (serial vs. parallel).
  • To characterize the color differences required for parallel visual search.

Main Methods:

  • Measuring response times in a visual search task with varying display densities.
  • Manipulating the size of color differences between target and distractors.

Related Experiment Videos

  • Quantifying color differences in multiple chromatic directions to identify parallel search criteria.

    • Main Results:

    • Response time increased with display density for small color differences, indicating serial search.
    • Response time remained constant regardless of display density for large color differences, indicating parallel search.
    • The color differences enabling parallel search were significantly larger than traditional color difference thresholds.

    Conclusions:

    • The search strategy in color-based visual search shifts from serial to parallel with increasing color differences.
    • Current models of color difference perception may not fully capture the requirements for parallel visual search.
    • Magnitude of color difference is a critical factor determining visual search efficiency.