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

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

199
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
199
Fixed Action Patterns01:06

Fixed Action Patterns

17.4K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
17.4K
Nonconscious Mimicry01:13

Nonconscious Mimicry

5.1K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
5.1K
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

528
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
528

You might also read

Related Articles

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

Sort by
Same author

Expanding together: How self-expansion and partner responsiveness shape sexual well-being in couples coping with sexual interest/arousal disorder.

Journal of psychopathology and clinical science·2026
Same author

A Novel Pilus System in Candidate Phyla Radiation Bacteria.

bioRxiv : the preprint server for biology·2026
Same author

Breast Cancer-related Lymphedema: A Comparative Ultrasound Study of Shear Wave Elastography and B-mode Measurements for Assessing Lymphaticovenous Anastomosis.

European journal of breast health·2026
Same author

Pre-Mohs micrographic surgery anxiety is higher in first-time and facial surgery patients.

Dermatology online journal·2026
Same author

Effects of early life adversity on socially learned analgesia and empathy in virtual reality.

NPJ digital medicine·2026
Same author

An <i>APOE</i> *4-Informed Genomic Atlas of the X Chromosome in Alzheimer's Disease.

medRxiv : the preprint server for health sciences·2026
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: Jan 9, 2026

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.6K

Embodied Natural Language Interaction (NLI): Speech Input Patterns in Immersive Analytics.

Hyemi Song, Matthew Johnson, Kirsten Whitley

    IEEE Transactions on Visualization and Computer Graphics
    |December 4, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Users blend embodied and non-embodied speech in immersive analytics based on tasks. Understanding these speech patterns improves natural language interactions (NLIs) in data analysis.

    More Related Videos

    Photorealistic Learned Landscapes for Augmented Reality
    06:54

    Photorealistic Learned Landscapes for Augmented Reality

    Published on: June 27, 2025

    648
    Automated Interactive Video Playback for Studies of Animal Communication
    07:21

    Automated Interactive Video Playback for Studies of Animal Communication

    Published on: February 9, 2011

    14.0K

    Related Experiment Videos

    Last Updated: Jan 9, 2026

    Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
    06:02

    Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

    Published on: October 6, 2020

    2.6K
    Photorealistic Learned Landscapes for Augmented Reality
    06:54

    Photorealistic Learned Landscapes for Augmented Reality

    Published on: June 27, 2025

    648
    Automated Interactive Video Playback for Studies of Animal Communication
    07:21

    Automated Interactive Video Playback for Studies of Animal Communication

    Published on: February 9, 2011

    14.0K

    Area of Science:

    • Human-Computer Interaction
    • Data Visualization
    • Natural Language Processing

    Background:

    • Immersive analytics increasingly uses natural language interactions (NLIs).
    • Users' speech patterns and embodiment cues in immersive data analysis are underexplored.
    • Bridging the gap between user intent and immersive systems requires understanding speech-data interplay.

    Purpose of the Study:

    • To investigate how embodiment influences users' verbal expression of intent in immersive analytics.
    • To identify speech patterns and their relationship with embodiment cues during data analysis tasks.
    • To propose design implications for enhancing NLIs in immersive environments.

    Main Methods:

    • User study with 15 participants using the Wizard of Oz method.
    • Axial coding of 1,280 speech acts from 734 utterances to analyze embodiment and linguistic features.
    • Measurement of Speech Input Uncertainty using semantic entropy of utterances.

    Main Results:

    • Identified five distinct speech input patterns based on task, phase, and embodiment reliance.
    • Demonstrated that users dynamically blend embodied and non-embodied speech acts.
    • Found alignment between speech patterns and user-reported challenges in speech interaction.

    Conclusions:

    • Embodiment significantly shapes verbal intent expression in immersive analytics NLIs.
    • Understanding speech patterns and embodiment is crucial for designing effective immersive analytic systems.
    • Proposed design implications offer guidance for future NLI development in immersive data visualization.