Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Design Consideration01:22

Design Consideration

547
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
547
Group Design02:01

Group Design

10.2K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.2K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

502
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
502
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

5.3K
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...
5.3K
Levels of Communication II: Organizational, Public, and Group Dynamics01:27

Levels of Communication II: Organizational, Public, and Group Dynamics

2.9K
Effective communication is the foundation of a good organization. Communication is the lifeblood of an organization that connects the group with messages. In an organization, communication occurs in upward, downward, and horizontal lines. Downward communication travels from the administrative and senior levels to the staff through official channels such as manuals, rules and regulations, and organizational charts. Staff members initiate upward communication, which is addressed to executives and...
2.9K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

1.0K
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
1.0K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Probabilistic Inclusion Depth for Fuzzy Contour Ensemble Visualization.

IEEE transactions on visualization and computer graphics·2026
Same author

Visual explainable artificial intelligence for graph-based visual question answering and scene graph curation.

Visual computing for industry, biomedicine, and art·2025
Same author

Uncertainty-Aware Spectral Visualization.

IEEE transactions on visualization and computer graphics·2025
Same author

Understanding Collaborative Learning of Molecular Structures in AR with Eye Tracking.

IEEE computer graphics and applications·2025
Same author

Visual Analysis of Multi-Outcome Causal Graphs.

IEEE transactions on visualization and computer graphics·2024
Same author

Active Gaze Labeling: Visualization for Trust Building.

IEEE transactions on visualization and computer graphics·2024
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
Same journal

Spatial-temporal Relation guided Motion Transfer via Diffusion Model.

IEEE transactions on visualization and computer graphics·2026
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: Jan 18, 2026

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

9.0K

Un marco multimodal para comprender los procesos de diseño colaborativo

Maurice Koch, Nelusa Pathmanathan, Daniel Weiskopf

    IEEE transactions on visualization and computer graphics
    |January 16, 2026
    PubMed
    Resumen
    Este resumen es generado por máquina.

    Este estudio presenta un marco para analizar talleres de diseño colaborativo, utilizando IA y herramientas visuales para integrar diversas fuentes de datos para una mejor comprensión de la toma de decisiones y los resultados grupales.

    Palabras clave:
    diseño colaborativoanálisis multimodalaprendizaje automáticovisualización de datosinteracción humano-computadoraprocesos de diseñotalleres de diseñoreCAPitanálisis de datostoma de decisiones

    Más Videos Relacionados

    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.4K
    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
    08:33

    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

    Published on: September 4, 2019

    7.4K

    Videos de Experimentos Relacionados

    Last Updated: Jan 18, 2026

    Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
    12:55

    Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

    Published on: September 27, 2020

    9.0K
    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.4K
    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
    08:33

    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

    Published on: September 4, 2019

    7.4K

    Área de la Ciencia:

    • Interacción Humano-Computadora
    • Estudios de Diseño
    • Trabajo Cooperativo Asistido por Computadora

    Sus antecedentes:

    • El análisis de los procesos de diseño colaborativo es crucial para comprender los resultados y la toma de decisiones.
    • Los métodos actuales a menudo se basan en datos textuales consolidados de entrevistas u observaciones, enfrentando desafíos con el volumen y la heterogeneidad de los datos.
    • La integración de diversas fuentes de datos de los talleres sigue siendo un desafío importante en la investigación de diseño.

    Objetivo del estudio:

    • Proponer un marco práctico, modular y adaptable para el análisis de talleres.
    • Introducir un sistema de análisis visual interactivo, reCAPit, para la integración de datos multimodales.
    • Mejorar la metodología para la adquisición rica en datos, la extracción basada en IA y el análisis visual de talleres de diseño colaborativo.

    Principales métodos:

    • Desarrolló un marco que abarca la configuración del taller, la adquisición de datos multimodales, la extracción de artefactos basada en IA y el análisis visual.
    • Creó el sistema reCAPit, integrando modalidades como video, audio, notas y datos de la mirada.
    • Realizó seis talleres sobre diversos temas y analizó dos estudios de caso en detalle.

    Principales resultados:

    • El sistema reCAPit permite la combinación flexible de datos multimodales para el análisis.
    • Un streamgraph multimodal visualiza la actividad y la atención, mientras que las tarjetas de temas resumen las discusiones.
    • Las técnicas de desglose permiten la inspección de datos sin procesar de varias fuentes.

    Conclusiones:

    • El marco propuesto extiende la metodología de los talleres de diseño colaborativo con adquisición rica en datos.
    • La extracción combinada basada en IA y el análisis visual interactivo ofrecen una difusión transparente de los resultados.
    • Este enfoque facilita una comprensión más profunda de la colaboración y la toma de decisiones en los procesos de diseño.