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

Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

483
Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
483
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

776
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.
776
Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

437
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,...
437
Perceptual Constancy01:12

Perceptual Constancy

477
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...
477
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

363
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...
363
Conservation of Mass in Moving, Nondeforming Control Volume01:14

Conservation of Mass in Moving, Nondeforming Control Volume

1.1K
Stormwater detention basins are essential in managing runoff during heavy rainfall, particularly in urban areas where impervious surfaces increase the risk of flooding. Understanding the conservation of mass in these systems allows engineers to optimize basin performance, balancing inflow, outflow, and water storage.
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Percutaneous distal metatarsal osteotomy with K-wire fixation into the medial cuneiform for hallux valgus: A case series including severe deformity.

Foot and ankle surgery : official journal of the European Society of Foot and Ankle Surgeons·2026
Same author

Protocol for the SACLA trial: Efficacy and safety of subretinal monteplase for submacular hemorrhage in a phase II single-arm multicenter decentralized clinical trial.

PloS one·2026
Same author

Sharp Body, Sour Taste: Changing Taste Experiences through Cross-Modal Correspondence with the Bouba/Kiki Self-Avatar in VR.

IEEE transactions on visualization and computer graphics·2026
Same author

Twelve-month Retrospective Comparison of Modified Treat-and-Extend and Pro Re Nata Regimens of Intravitreal Aflibercept for Macular Edema Secondary to Branch Retinal Vein Occlusion.

The Kurume medical journal·2026
Same author

RPE With ROCK-Mediated Epithelial-Mesenchymal Transition as a Key Contributor of Subretinal Fibrosis in AMD.

Investigative ophthalmology & visual science·2026
Same author

The Effect of Photorealism Consistency Between the Virtual Hands and Environment on the Sense of Body Ownership and Presence in Virtual Reality.

IEEE transactions on visualization and computer graphics·2026

Related Experiment Video

Updated: Aug 4, 2025

Controlled Rotation of Human Observers in a Virtual Reality Environment
09:11

Controlled Rotation of Human Observers in a Virtual Reality Environment

Published on: April 21, 2022

2.6K

Presenting Morphing Shape Illusion: Enhanced Sense of Morphing Virtual Object With Weight Shifting VR Controller by

Jotaro Shigeyama, Takeru Hashimoto, Shigeo Yoshida

    IEEE Computer Graphics and Applications
    |April 4, 2023
    PubMed
    Summary

    This study introduces a new haptic feedback model for virtual reality, enhancing the sense of object shape. The model reduces haptic device actuation by up to 37% while maintaining a plausible user experience.

    More Related Videos

    Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
    06:53

    Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

    Published on: March 1, 2017

    13.3K
    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
    07:05

    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

    Published on: October 27, 2016

    9.3K

    Related Experiment Videos

    Last Updated: Aug 4, 2025

    Controlled Rotation of Human Observers in a Virtual Reality Environment
    09:11

    Controlled Rotation of Human Observers in a Virtual Reality Environment

    Published on: April 21, 2022

    2.6K
    Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
    06:53

    Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

    Published on: March 1, 2017

    13.3K
    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
    07:05

    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

    Published on: October 27, 2016

    9.3K

    Area of Science:

    • Virtual Reality
    • Haptic Feedback
    • Human-Computer Interaction

    Background:

    • Haptic sensation is key for virtual reality (VR) immersion and object presence.
    • Existing haptic devices aim to simulate object shape through weight distribution changes.
    • Visual feedback is known to enhance the perception of both static and morphing shapes in VR.

    Purpose of the Study:

    • To extend a previous perception model for static shapes to dynamic, morphing shapes in VR.
    • To develop a stochastic model for predicting haptic device actuation for morphing objects.
    • To reduce hardware effort in haptic devices while maintaining plausible shape sensation.

    Main Methods:

    • Developed a stochastic perception model to predict weight actuation for a weight-shifting haptic device.
    • Extended a prior model for static shape perception to dynamic, morphing shapes.
    • Evaluated the model's accuracy and its effect on reducing required haptic actuation.

    Main Results:

    • The perception model achieved an average accuracy of 8.1% error.
    • The model enabled a reduction in weight actuation by up to 37% at a 75% probability of plausibility.
    • This reduction in actuation maintains a plausible sense of morphing object shapes.

    Conclusions:

    • The developed stochastic model effectively predicts haptic feedback for morphing virtual objects.
    • The model significantly reduces the required hardware effort for haptic devices.
    • This advancement enhances immersion and plausibility in virtual reality experiences.