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

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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 instrumental in...
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

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 drone...
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

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...
Inertial Frames of Reference01:03

Inertial Frames of Reference

Newton’s first law is usually considered to be a statement about reference frames. It provides a method for identifying a special type of reference frame: the inertial reference frame. In principle, we can make the net force on a body zero. If its velocity relative to a given frame is constant, then that frame is said to be inertial. So, by definition, an inertial reference frame is a reference frame where Newton's first law holds valid. Newton's first law applies to objects with constant...
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

A slider-crank mechanism 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. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...

You might also read

Related Articles

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

Sort by
Same author

Lymphocyte Micronucleus Formation Is Driven by Inflammation-Induced Oxidative DNA Damage in Oesophageal Cancer Development.

International journal of cancer·2026
Same author

Working memory load attenuates the match effect in sentence-picture verification.

Memory & cognition·2026
Same author

Familial medullary thyroid carcinoma secondary to an <i>SLC30A9</i> intragenic deletion and translation reinitiation.

medRxiv : the preprint server for health sciences·2026
Same author

Combating the Plague of Health Misinformation in Memes: Exploring the Influence of Transmission and Ritual Vaccine Messaging Using the Six-Segment Message Strategy Wheel.

Journal of health communication·2026
Same author

Blending emotion and logic in health messaging strategy: Audience perception of message appeals in anti- and pro-vaccination memes.

Health marketing quarterly·2025
Same author

Harnessing the power of an advanced in vitro 3D liver model and error-corrected duplex sequencing for the detection of mutational signatures.

Mutagenesis·2025
Same journal

Corrigendum to 'Consonant, vowel, and tone cues in early wordform recognition: Evidence from Cantonese-learning infants' [Cognition 275 (2026) 106624].

Cognition·2026
Same journal

Identifying distinct sources of whole number interference in children's decimal comparison: the role of numerical magnitude and inhibitory control.

Cognition·2026
Same journal

Evidence for abstract spatial concept learning in young animals.

Cognition·2026
Same journal

Blurred lines or clear boundaries? Synchrony and social dominance shape domain-specific self-other processing.

Cognition·2026
Same journal

Knowability predicts curiosity and learning.

Cognition·2026
Same journal

Throwing good effort after bad: Evidence for a sunk-cost effect in cognitive effort-based decision-making.

Cognition·2026
See all related articles

Related Experiment Video

Updated: Jun 10, 2026

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
07:34

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Published on: November 7, 2025

Self-motion impairs multiple-object tracking.

Laura E Thomas1, Adriane E Seiffert

  • 1Vanderbilt University, Department of Psychology, 111 21st Avenue South, Nashville, TN 37203, USA.

Cognition
|July 28, 2010
PubMed
Summary
This summary is machine-generated.

Tracking multiple moving objects is harder when you are also moving. This study shows that self-motion significantly impairs multiple-object tracking, suggesting a shared cognitive mechanism for tracking external objects and self-location.

More Related Videos

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

Related Experiment Videos

Last Updated: Jun 10, 2026

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
07:34

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Published on: November 7, 2025

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

Area of Science:

  • Cognitive psychology
  • Human perception
  • Neuroscience

Background:

  • Multiple-object tracking (MOT) is crucial for understanding real-world activities like driving.
  • Laboratory MOT tasks often omit self-motion, a key element in naturalistic tracking scenarios.

Purpose of the Study:

  • To investigate if self-motion interferes with the ability to track multiple moving objects.
  • To determine if cognitive load associated with self-motion impairs visual tracking performance.

Main Methods:

  • Participants performed MOT tasks in both stationary and self-motion conditions (active and passive movement).
  • Experiments were conducted in both immersive virtual reality and a real-world setting.
  • A non-spatial tracking task was used as a control to assess task specificity.

Main Results:

  • Self-motion significantly impaired performance on the multiple-object tracking task.
  • Performance decrements occurred even with passive self-motion and without visual viewpoint changes.
  • Self-motion did not affect performance on a difficult non-spatial tracking task, indicating specificity.

Conclusions:

  • Tracking one's own movement shares cognitive resources with tracking external objects.
  • Self-motion poses a significant challenge to multiple-object tracking abilities.
  • A common neural mechanism likely underlies spatial awareness and the tracking of dynamic external environments.