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

Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is formed in...
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

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...
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a problem,...

You might also read

Related Articles

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

Sort by
Same author

Multiple patterns of selectivity in superior colliculus control visual search.

bioRxiv : the preprint server for biology·2025
Same author

MATCH: A toolbox to assess the primary color of real-world objects and generate color-matching stimuli.

Behavior research methods·2025
Same author

Top-down categorical information can be utilized in distractor suppression.

Attention, perception & psychophysics·2025
Same author

How robust is categorial distractor suppression? Assessing the impact of additional categories and increased set size.

Attention, perception & psychophysics·2025
Same author

Evaluating theories of neural information integration during visual search.

bioRxiv : the preprint server for biology·2024
Same author

The attentive reconstruction of objects facilitates robust object recognition.

PLoS computational biology·2024
Same journal

AI-generated faces are becoming more trustworthy.

Journal of vision·2026
Same journal

Attenuated boundary extension in observer perspective memory compared to field perspective memory.

Journal of vision·2026
Same journal

Comparing masking and habituation roles in saccadic omission of stimuli optimized for intra-saccadic vision.

Journal of vision·2026
Same journal

Analysis of human visual experience data.

Journal of vision·2026
Same journal

Pyramid-based Bayesian modeling for high-resolution behavioral analysis.

Journal of vision·2026
Same journal

Sensation without perception: The white whale effect and perceptual blindness in autonomous vehicles.

Journal of vision·2026
See all related articles

Related Experiment Video

Updated: May 26, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
03:31

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments

Published on: December 15, 2023

Cutting through the clutter: searching for targets in evolving complex scenes.

Mark B Neider1, Gregory J Zelinsky

  • 1Department of Psychology, University of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816-1390, USA. mark.neider@ucf.edu

Journal of Vision
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

Visual clutter impacts visual search performance. Subjective clutter, reflecting conceptual complexity, better predicts search difficulty than objective measures like edge count.

More Related Videos

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
05:58

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

Published on: August 29, 2018

Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy
12:40

Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy

Published on: October 20, 2014

Related Experiment Videos

Last Updated: May 26, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
03:31

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments

Published on: December 15, 2023

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
05:58

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

Published on: August 29, 2018

Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy
12:40

Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy

Published on: October 20, 2014

Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction
  • Visual Perception

Background:

  • Visual search performance is influenced by scene complexity.
  • Set size effects in visual search are traditionally studied using controlled stimuli.
  • Visual clutter is proposed as a more ecologically valid measure of scene complexity.

Purpose of the Study:

  • To evaluate visual clutter as a surrogate for set size effects in visual search.
  • To compare subjective and objective measures of visual clutter.
  • To investigate the impact of incrementally increasing clutter on search performance.

Main Methods:

  • Utilized "evolving" city scenes (rural, suburban, urban) generated in SimCity.
  • Collected 30 screenshots per scene type, varying incrementally in clutter.
  • Measured reaction times (RT) and search guidance (scan path ratio) for target identification.

Main Results:

  • Search performance (RT and guidance) was best in rural, intermediate in suburban, and worst in urban scenes.
  • Subjective clutter estimates correlated highly with RT and search guidance.
  • Objective clutter measures (edge count, feature congestion) did not improve prediction of search performance beyond subjective estimates.

Conclusions:

  • Subjective visual clutter, encompassing conceptual factors, is a strong predictor of visual search difficulty.
  • Objective, low-level features alone do not fully explain the impact of clutter on search.
  • Conceptual congestion, such as the variety of elements in a scene, plays a significant role in visual search performance.