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

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

618
A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
618
Tactile and Chemical Senses01:27

Tactile and Chemical Senses

548
Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex.
548
Somatosensation01:33

Somatosensation

42.6K
The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
42.6K
Responses to Gravity and Touch02:26

Responses to Gravity and Touch

41.4K
Gravitropism: Plant Responses to Gravity
41.4K
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

10.7K
The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the...
10.7K

You might also read

Related Articles

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

Sort by
Same author

A Walk Among the Data.

IEEE computer graphics and applications·2019
Same author

[Relationship between Mutations of the Epidermal Growth Factor Receptor Gene and Drug-Resistance to Gefitinib in Human Lung Cancer in vitro.].

Zhongguo fei ai za zhi = Chinese journal of lung cancer·2010
Same author

Pupal diapause of Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae) mediated by larval host plants: pupal weight is important.

Journal of insect physiology·2010
Same author

Clinical application and evaluation of anti-TNF-alpha agents for the treatment of rheumatoid arthritis.

Acta pharmacologica Sinica·2010
Same author

Regulatory effect of melatonin on cytokine disturbances in the pristane-induced lupus mice.

Mediators of inflammation·2010
Same author

Management of maxillary sinus inverted papilloma via transnasal endoscopic anterior and medial maxillectomy.

ORL; journal for oto-rhino-laryngology and its related specialties·2010
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Dec 9, 2025

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

13.7K

Touch and Beyond: Comparing Physical and Virtual Reality Visualizations.

Kurtis Danyluk, Teoman Ulusoy, Wei Wei

    IEEE Transactions on Visualization and Computer Graphics
    |September 11, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study compared physical and virtual reality data visualizations. Virtual reality showed challenges but interactive tools offer potential for data analysis.

    More Related Videos

    Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
    05:43

    Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

    Published on: May 23, 2019

    5.8K
    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

    9.5K

    Related Experiment Videos

    Last Updated: Dec 9, 2025

    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

    13.7K
    Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
    05:43

    Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

    Published on: May 23, 2019

    5.8K
    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

    9.5K

    Area of Science:

    • Human-Computer Interaction
    • Data Visualization
    • Virtual Reality

    Background:

    • Previous research has explored physical data visualizations (data physicalizations).
    • Virtual reality (VR) offers immersive environments for data interaction.
    • Understanding user interaction with different data visualization modalities is crucial.

    Purpose of the Study:

    • To compare user interaction and problem-solving behaviors with physical and virtual reality data visualizations.
    • To investigate the impact of interactive annotation and filtering tools in VR data analysis.
    • To identify challenges and potentials of VR for data visualization tasks.

    Main Methods:

    • Two studies were conducted, inspired by data physicalization research.
    • Study 1: Compared user interaction with physical, virtual hand-scale, and virtual table-scale visualizations.
    • Study 2: Examined the effect of interactive annotation and filtering tools in VR visualizations.

    Main Results:

    • Differences in viewer interaction were observed across physical and virtual visualization scales.
    • Virtual reality visualizations presented specific interaction challenges.
    • Interactive annotation and filtering tools showed potential to enhance VR data analysis capabilities.

    Conclusions:

    • Virtual reality data visualizations face current challenges in user interaction and problem-solving.
    • Interactive tools in VR have the potential to enable advanced data analysis modes.
    • Further research is needed to optimize VR environments for effective data visualization.