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

4.7K
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...
4.7K
Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

541
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
541
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

6.0K
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...
6.0K
Principle of Virtual Work: Problem Solving01:13

Principle of Virtual Work: Problem Solving

1.4K
The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
To apply the principle of virtual work,...
1.4K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.1K
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
1.1K
Relative Velocity in Two Dimensions01:11

Relative Velocity in Two Dimensions

8.4K
Relative velocity is the velocity of an object as observed from a particular reference frame, or the velocity of one reference frame with respect to another reference frame. The concept of relative velocity can be used to describe motion in two dimensions. Consider a particle P and two reference frames S and S′. The position of the origin of S′ as measured in S is , the position of P as measured in S′ is , and the position of P as measured in S is , which can be evaluated by utilizing...
8.4K

You might also read

Related Articles

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

Sort by
Same author

Understanding 3D vision as a policy network.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2022
Same author

No single, stable 3D representation can explain pointing biases in a spatial updating task.

Scientific reports·2019
Same author

Corrigendum: The Southampton-York Natural Scenes (SYNS) dataset: Statistics of surface attitude.

Scientific reports·2017
Same author

The Southampton-York Natural Scenes (SYNS) dataset: Statistics of surface attitude.

Scientific reports·2016
Same author

A moving observer in a three-dimensional world.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2016
Same author

Differential processing of binocular and monocular gloss cues in human visual cortex.

Journal of neurophysiology·2016
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Nov 8, 2025

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.1K

Route selection in non-Euclidean virtual environments.

Alexander Muryy1, Andrew Glennerster1

  • 1School of Psychology and Clinical Language Sciences, University of Reading, Reading, United Kingdom.

Plos One
|April 20, 2021
PubMed
Summary
This summary is machine-generated.

People navigate using a spatial graph, prioritizing past success in impossible mazes and shortest distance in real mazes. Maze complexity influences which navigational strategy is prioritized.

More Related Videos

Virtual Reality Experiments with Physiological Measures
07:09

Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

12.9K
Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

2.3K

Related Experiment Videos

Last Updated: Nov 8, 2025

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.1K
Virtual Reality Experiments with Physiological Measures
07:09

Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

12.9K
Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

2.3K

Area of Science:

  • Cognitive Psychology
  • Spatial Navigation
  • Human Spatial Representation

Background:

  • Route selection in unfamiliar environments offers insights into cognitive spatial representations.
  • Investigating how environmental manipulations affect navigational performance reveals underlying spatial processing mechanisms.

Purpose of the Study:

  • To explore the nature of spatial representations used in navigation.
  • To determine how physically impossible environments influence route choice and spatial memory.

Main Methods:

  • Participants navigated virtual mazes to targets, with mazes being either physically realizable or impossible (containing 'wormholes').
  • Route choices at junctions were recorded and analyzed based on shortest-distance predictions and past success rates.

Main Results:

  • Participants successfully found shortest routes in both realizable and impossible mazes.
  • In impossible mazes, junction choices were more influenced by past success than shortest distance.
  • In realizable mazes, shortest distance primarily determined junction choices.

Conclusions:

  • Navigational choices are guided by a graph-like spatial representation incorporating distance and past success.
  • Maze complexity influences the weighting of distance versus past success in decision-making during navigation.