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

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

2.2K
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.
2.2K
Perceptual Constancy01:12

Perceptual Constancy

1.6K
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
1.6K
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

7.8K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
7.8K
Non-Verbal Cues01:29

Non-Verbal Cues

360
Non-verbal communication extends beyond gestures and facial expressions to include vocal elements known as paralanguage. Paralanguage consists of non-verbal vocal cues such as pitch, loudness, speech rate, pauses, and non-verbal vocalizations like laughter, sighs, and moans. These elements not only accompany speech but also provide critical emotional and contextual information.The Role of Paralanguage in CommunicationParalanguage adds depth to spoken language by conveying emotions and...
360
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

1.5K
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...
1.5K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.6K
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...
8.6K

You might also read

Related Articles

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

Sort by
Same author

The impact of visuomotor skills on two pen-and-paper tests of sustained attention (d2-R, FAIR).

Psychological research·2025
Same author

How Do Humans Process Audiovisual Cues for Task-Switching While Walking? An EEG/ERP Study.

Psychophysiology·2025
Same author

Evaluation of different feedback designs for target guidance in human controlled robotic cranes: A comparison between high and low performance groups.

Applied ergonomics·2023
Same author

Analysis of learning the bimanual control of (tele)operating joint space controlled robotic arms with 4 degrees of freedom using the two-timescales power law of learning.

Ergonomics·2023
Same author

Did you even see that? visual sensory processing of single stimuli under different locomotor loads.

PloS one·2022
Same author

[Intralogistics in the age of digital change: Job demands and mental strain in order picking using the example of a company from the e-commerce sector].

Zeitschrift fur Arbeitswissenschaft·2021

Related Experiment Video

Updated: Feb 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

9.4K

Surprising depth cue captures attention in visual search.

Thorsten Plewan1, Gerhard Rinkenauer2

  • 1Department of Ergonomics, Leibniz Research Centre for Working Environment and Human Factors, Ardeystr. 67, D-44139, Dortmund, Germany. plewan@ifado.de.

Psychonomic Bulletin & Review
|October 6, 2017
PubMed
Summary
This summary is machine-generated.

Surprising depth information captures visual attention, even when unexpected. This study found that both near and far depth cues grab attention immediately, improving search performance.

Keywords:
3DAttentional captureSurpriseVisual search

More Related Videos

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.4K
Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model
06:30

Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model

Published on: May 24, 2019

5.8K

Related Experiment Videos

Last Updated: Feb 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

9.4K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.4K
Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model
06:30

Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model

Published on: May 24, 2019

5.8K

Area of Science:

  • Cognitive Psychology
  • Visual Perception

Background:

  • Surprising events are known to capture attention.
  • Previous research suggests depth information influences perception.

Purpose of the Study:

  • To investigate if expectancy-discrepant depth information captures attention.
  • To determine if near or far depth cues differentially modulate behavior.

Main Methods:

  • Participants identified target letters in a search display.
  • Uninformative placeholders cued stimulus positions.
  • Critical trials featured unexpected near or far depth cues.

Main Results:

  • Both near and far depth cues captured attention on first appearance.
  • Performance improved significantly in critical trials with depth cues.
  • Faster response times were observed with depth cues, even in critical trials.

Conclusions:

  • Surprising depth information effectively captures visual attention.
  • The relative position (near vs. far) did not significantly impact search performance.
  • Attention capture by depth cues is time-dependent, requiring a sufficient cue-stimulus interval.