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

Confidence Coefficient01:24

Confidence Coefficient

11.1K
The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under...
11.1K
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

714
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
714
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

954
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
954
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

1.1K
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
1.1K
Kinematic Equations for Rotation01:30

Kinematic Equations for Rotation

1.0K
In mechanics, when one observes a rigid body in rotational motion with constant angular acceleration, it is possible to establish equations for its rotational kinematics. This process resembles how linear kinematics are dealt with in simpler motion studies.
For instance, imagine a point A on a rigid body engaged in circular motion. The translational velocity of this particular point can be calculated by taking the time derivatives of the displacement equation, which essentially measures the...
1.0K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

2.7K
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.
2.7K

You might also read

Related Articles

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

Sort by
Same author

When is "now"? In the past to compensate for the sensation of time or in the future as a prediction of the temporal sensory horizon?

The Behavioral and brain sciences·2026
Same author

Human-aligned evaluation of a pixel-wise DNN color constancy model.

Frontiers in human neuroscience·2026
Same author

Human gloss perception reproduced by tiny neural networks.

Nature human behaviour·2026
Same author

Swiping colors in virtual reality: How stable are color category borders?

Journal of vision·2026
Same author

Serial dependence in goal-directed interceptive hand movements.

BMC biology·2026
Same author

Natural scene segmentation dynamics reveal iterative Bayesian inference.

bioRxiv : the preprint server for biology·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
Same journal

Gaze behavior during closed-captioned movie viewing adapts to absent audio through more frequent switching between text and scene.

Journal of vision·2026
Same journal

In pursuit of saccade awareness: Limited volitional control and minimal conscious access to catch-up saccades during smooth pursuit eye movements.

Journal of vision·2026
Same journal

Dissociable effects of element-lifetime and stimulus-duration on local and global motion processing: An equivalent noise study.

Journal of vision·2026
See all related articles

Related Experiment Video

Updated: Apr 12, 2026

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension
06:49

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension

Published on: January 10, 2014

27.1K

Sensorimotor confidence for tracking eye movements.

Alexander Goettker1,2, Shannon M Locke3,4, Karl R Gegenfurtner1,5

  • 1Abteilung Allgemeine Psychologie, Justus-Liebig University Giessen, Giessen, Germany.

Journal of Vision
|August 23, 2024
PubMed
Summary
This summary is machine-generated.

People can sense how well they track moving objects with their eyes, but this self-awareness, or metacognitive sensitivity, is less accurate for eye movements than for hand movements.

More Related Videos

Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum
07:30

Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum

Published on: March 21, 2019

7.9K
Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
07:45

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

4.4K

Related Experiment Videos

Last Updated: Apr 12, 2026

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension
06:49

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension

Published on: January 10, 2014

27.1K
Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum
07:30

Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum

Published on: March 21, 2019

7.9K
Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
07:45

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

4.4K

Area of Science:

  • Cognitive Neuroscience
  • Ophthalmology
  • Human Perception

Background:

  • Evaluating personal performance is crucial for effective real-world interactions.
  • Eye movements are frequent but often occur unconsciously, raising questions about self-awareness of their accuracy.

Purpose of the Study:

  • To investigate metacognitive sensitivity for the accuracy of human eye movements.
  • To determine if individuals can accurately assess their own eye-tracking performance.

Main Methods:

  • Participants engaged in tracking tasks involving a dot cloud on a sinusoidal trajectory.
  • Post-tracking, participants judged if their performance was better or worse than their average.
  • Analysis focused on the accuracy of these self-judgments and factors influencing them.

Main Results:

  • Participants demonstrated above-chance ability to identify better eye-tracking performance across trials.
  • Discrimination sensitivity remained stable across sessions, but judgments within trials depended on recent performance.
  • Metacognitive sensitivity for eye movements was significantly lower compared to hand movements.

Conclusions:

  • Evidence suggests metacognitive sensitivity exists for eye movement accuracy.
  • Self-assessment of eye-tracking performance is possible, though less precise than for motor actions like hand movements.
  • Further research is needed to understand the mechanisms underlying metacognitive awareness of oculomotor control.