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

Perception01:28

Perception

442
Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
442
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

609
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.
609

You might also read

Related Articles

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

Sort by
Same author

Sound, Touch, or the Full Monty? A Comparative Study of Accessible Data Exploration Systems for Blind Users.

ACM transactions on accessible computing·2026
Same author

Ambient Analytics: Calm Technology for Immersive Visualization and Sensemaking.

IEEE computer graphics and applications·2026
Same author

Hybrid User Interfaces: Past, Present, and Future of Complementary Cross-Device Interaction in Mixed Reality.

IEEE transactions on visualization and computer graphics·2026
Same author

"I Feel Like Iron Man": Authoring, Exploring, and Presenting Data Visualizations in Immersive AR.

IEEE transactions on visualization and computer graphics·2026
Same author

Eye of the Beholder: Towards Measuring Visualization Complexity.

IEEE transactions on visualization and computer graphics·2025
Same author

Critical Design Strategy: A Method for Heuristically Evaluating Visualisation Designs.

IEEE transactions on visualization and computer graphics·2025
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: Jun 13, 2025

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

199

Attention-Aware Visualization: Tracking and Responding to User Perception Over Time.

Arvind Srinivasan, Johannes Ellemose, Peter W S Butcher

    IEEE Transactions on Visualization and Computer Graphics
    |September 9, 2024
    PubMed
    Summary
    This summary is machine-generated.

    Attention-aware visualizations (AAVs) track user perception to enhance data exploration. This system dynamically modifies visual representations based on user attention, improving data discovery in immersive analytics.

    More Related Videos

    Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
    07:09

    Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

    Published on: November 14, 2018

    10.6K
    Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos
    06:45

    Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos

    Published on: May 29, 2020

    4.2K

    Related Experiment Videos

    Last Updated: Jun 13, 2025

    Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
    07:48

    Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

    Published on: April 4, 2025

    199
    Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
    07:09

    Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

    Published on: November 14, 2018

    10.6K
    Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos
    06:45

    Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos

    Published on: May 29, 2020

    4.2K

    Area of Science:

    • Human-Computer Interaction
    • Data Visualization
    • Ubiquitous Computing

    Background:

    • Traditional visualizations lack awareness of user perception.
    • Ubiquitous and immersive analytics require context-aware systems.
    • Understanding user attention is crucial for effective data interaction.

    Purpose of the Study:

    • To introduce Attention-Aware Visualizations (AAVs) that dynamically adapt to user perception.
    • To develop methods for tracking user gaze and attention on visualizations.
    • To enable visualizations to reactively modify their appearance based on user attention.

    Main Methods:

    • Gaze tracking on visualizations and their components.
    • Temporal attention tracking and accumulation.
    • Reactive modification of visual representations based on attention metrics.
    • Implementation of 2D data-agnostic and 3D data-aware AAV systems.
    • Qualitative evaluation of visual feedback and attention capture mechanisms.

    Main Results:

    • Two distinct AAV implementations were developed: one for web-based 2D visualizations and another for 3D visualizations.
    • Both methods effectively track attention over time and modify visual elements accordingly.
    • Qualitative evaluation provided insights into user feedback and triggering mechanisms for attention-based visualization changes.

    Conclusions:

    • AAVs offer a novel approach to enhance user engagement and data discovery in interactive visualization systems.
    • The proposed methods for gaze tracking and attention feedback are effective in adapting visualizations to user perception.
    • Future work can explore more sophisticated attention metrics and adaptive visualization strategies.