Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Depth Perception and Spatial Vision

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

Visual System

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...

Sight Distance in a Vertical Curve

Sight Distance in a Vertical Curve

Sight distance on vertical curves is critical in roadway design. It ensures drivers can see far enough ahead to identify and respond to hazards effectively. This directly impacts safety, driver comfort, and the overall efficiency of the transportation network.Vertical curves are classified into crest and sag curves based on their geometry. For crest curves, sight distance is determined by the line of sight between a driver's eye and a small object on the road's surface. Design parameters for...

You might also read

Related Articles

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

Sort by

Same author

Successful Renal Transplantation in Small Children With a Completely Thrombosed Inferior Vena Cava.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2017

Same author

Lymphatic vessels in osteoarthritic human knees.

Osteoarthritis and cartilage·2012

Same author

Autonomic dysreflexia and primary afferent sprouting after clip-compression injury of the rat spinal cord.

Journal of neurotrauma·2001

Same author

Visual search and attention: a signal detection theory approach.

Neuron·2001

Same author

Stimulus configuration determines the detectability of motion signals in noise.

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

Same author

The psychophysics of visual search.

Vision research·2000

Search research articles

Related Experiment Video

Updated: Jul 16, 2026

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

Published on: August 29, 2018

The scale bandwidth of visual search

P Verghese¹, D G Pelli

¹Institute for Sensory Research, Syracuse University, NY 13244-5290.

Vision Research

|April 1, 1994

Summary

This study found that visual search accuracy depends on a critical number of elements, influenced by display scale ratios. Attentional control over uniform sample spacing optimizes target detection in visual perception tasks.

Area of Science:

Visual perception
Cognitive psychology
Human factors

Background:

Understanding visual search efficiency is crucial for designing effective displays and interfaces.
Previous research suggests limitations in the human capacity to process visual information simultaneously.

Purpose of the Study:

To investigate how the ratio of two scales in a visual display affects target localization accuracy.
To determine the relationship between the number of elements, scale ratio, and the observer's ability to detect a target.

Main Methods:

Participants were tasked with locating a target within a brief, two-scale visual display.
Target accuracy was measured across various scale ratios.
Data were analyzed to identify a 'critical' number of monitored elements.

More Related Videos

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Published on: April 11, 2025

Related Experiment Videos

Last Updated: Jul 16, 2026

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

Published on: August 29, 2018

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Published on: April 11, 2025

Main Results:

Target localization accuracy was accurately predicted by a model assuming a 'critical' number of monitored elements.
The critical number of elements varied predictably with the scale ratio of the display.
A model based on uniformly spaced samples, controlled by attention, explained the observed results.

Conclusions:

Visual search performance is constrained by a limited capacity, defined by a critical number of elements.
Attentional control over uniform sampling is a key mechanism in visual target detection.
This finding has implications for display design and understanding human visual processing limits.