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: Introduction01:05

Collisions in Multiple Dimensions: Introduction

4.9K
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...
4.9K
The Representativeness Heuristic02:13

The Representativeness Heuristic

15.8K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
15.8K
Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

374
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,...
374
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

3.7K
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...
3.7K
Stereotype Content Model02:16

Stereotype Content Model

14.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.0K

You might also read

Related Articles

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

Sort by
Same author

Muscle Tissue Remodeling Following Intramuscular Fat Grafting: Structural and Transcriptomic Insights.

Aesthetic surgery journal·2026
Same author

Ensuring Timely Detection of Bladder Cancer: The Role of a Screening for Haematuria Consultations.

Indian journal of surgical oncology·2026
Same author

Mastery Learning Improves Performance on Complex Tasks on PCP Literacy Test.

IEEE computer graphics and applications·2026
Same author

From Prediction to Insight: Visual Analytics for Understanding Compound Potency Models.

IEEE computer graphics and applications·2026
Same author

Quantitative magnetic resonance cholangiopancreatography metrics improve prognostication in primary sclerosing cholangitis.

JHEP reports : innovation in hepatology·2026
Same author

Development and short-term effectiveness of a theory-informed, nurse-led structured rehabilitation consultation in primary care asthma management.

Respiratory medicine·2026
Same journal

Graph Pattern Matching based reassembly - 3DGPM.

IEEE computer graphics and applications·2026
Same journal

Making Learning Visible: Turning Public Engagement into Evidence for Academic Learning.

IEEE computer graphics and applications·2026
Same journal

LlymX: Multimodal LLM-Augmented XR for Context-Aware Information Access.

IEEE computer graphics and applications·2026
Same journal

Dynamic Gaussian-Based Digital Twin Reconstruction of Articulated Multi-Joint Objects.

IEEE computer graphics and applications·2026
Same journal

Steiner and Poisson Traversal Initializations: Initial Curve Optimization for Geometric Flow-based Surface Filling.

IEEE computer graphics and applications·2026
Same journal

Insight Into the Insight Toolkit.

IEEE computer graphics and applications·2026
See all related articles

Related Experiment Video

Updated: Jun 14, 2025

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

2.2K

Mixed Reality Collaboration: How Expert Representations Shape User Experiences.

Bernardo Marques, Samuel Silva, Carlos Ferreira

    IEEE Computer Graphics and Applications
    |June 12, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study explored how different remote expert representations in mixed reality (MR) impact collaboration. Realistic avatars and live video streams generally enhanced learning and trust more than abstract or no representations.

    More Related Videos

    Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
    04:12

    Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

    Published on: June 23, 2023

    605
    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

    6.0K

    Related Experiment Videos

    Last Updated: Jun 14, 2025

    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

    2.2K
    Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
    04:12

    Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

    Published on: June 23, 2023

    605
    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

    6.0K

    Area of Science:

    • Human-Computer Interaction
    • Collaborative Technologies
    • Virtual and Augmented Reality

    Background:

    • Remote assistance is crucial in modern workplaces, with mixed reality (MR) emerging as a key technology.
    • Effective representation of remote experts in MR environments is vital for successful knowledge sharing and collaboration.
    • Understanding the impact of various visual representations on user experience is essential for optimizing MR-assisted collaboration.

    Purpose of the Study:

    • To evaluate how different visual representations of remote experts in mixed reality (MR) affect collaboration dynamics.
    • To determine which types of representations best enhance communication, trust, and perceived expertise.
    • To identify optimal strategies for representing remote experts in MR for improved learning and collaboration.

    Main Methods:

    • A study involving 57 participants was conducted to assess collaboration under six different remote expert representation conditions.
    • Conditions included: no visual representation, emojis, cartoon avatar, robot avatar, realistic avatar, and live video stream.
    • Participants' collaborative experiences were evaluated across various dimensions to measure the effectiveness of each representation.

    Main Results:

    • Realistic avatars and live video streams generally led to better collaboration outcomes compared to abstract representations or no visual feedback.
    • The study identified significant differences in communication effectiveness, trust, and perceived expertise across the tested conditions.
    • Emoji and basic avatar representations showed limited benefits in enhancing the collaborative experience.

    Conclusions:

    • The choice of remote expert representation in mixed reality significantly influences collaboration quality.
    • Realistic visual representations, such as avatars or live video, are more effective in fostering trust and improving learning in remote assistance scenarios.
    • Future MR system designs should prioritize realistic and high-fidelity representations for remote experts to maximize collaborative potential.