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Related Concept Videos

Parallel Processing01:20

Parallel Processing

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...
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...
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Depth Perception and Spatial Vision01:15

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.

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Related Experiment Video

Updated: May 21, 2026

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

Multitarget Visual Search Flexibly Switches Between Concurrent and Sequential Search Modes.

Alex J Hoogerbrugge1, Christoph Strauch1, Noa Hoevers1

  • 1Experimental Psychology, Helmholtz Institute, Utrecht University.

Psychological Science
|May 19, 2026
PubMed
Summary
This summary is machine-generated.

People can flexibly switch between sequential and concurrent visual search modes. This adaptive strategy, chosen based on task demands and individual preferences, helps reconcile mixed findings in multitarget search research.

Keywords:
attentional guidancemultitarget searchvisual searchvisual working memory

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Last Updated: May 21, 2026

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05:58

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07:36

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human Visual Perception

Background:

  • Previous research on multitarget visual search has focused on capacity limits.
  • Findings regarding the ability to use multiple working memory representations concurrently have been inconsistent.

Purpose of the Study:

  • To investigate whether individuals can switch between sequential and concurrent search strategies.
  • To determine if search mode flexibility can explain discrepancies in prior multitarget search studies.

Main Methods:

  • Experiment 1: Instructed sequential and concurrent search for two targets using manual and oculomotor responses.
  • Experiments 2a & 2b: Participants freely chose search modes.
  • Trial-level modeling to analyze search strategy selection.

Main Results:

  • Participants successfully employed both sequential and concurrent search when instructed.
  • When free to choose, participants predominantly used distinct sequential and concurrent modes.
  • Search mode selection was dynamically adjusted based on factors like set size, stimulus properties, and individual preference.

Conclusions:

  • Visual search is a dynamic and adaptive process.
  • Individuals flexibly select search modes as needed, akin to using "tools from a toolbox".
  • This flexibility reconciles inconsistencies in previous multitarget search literature.