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

Gestalt Principles of Perception01:21

Gestalt Principles of Perception

1.8K
Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
1.8K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

711
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,...
711
Visual System01:26

Visual System

2.3K
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
2.3K
Perception01:28

Perception

1.8K
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...
1.8K
Parallel Processing01:20

Parallel Processing

896
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
896
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

4.2K
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
4.2K

You might also read

Related Articles

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

Sort by
Same author

Engineering Carbon Nanotube Quantum Well Defects with Recognition Tripeptides for Optical Detection of Extracellular Vesicles in Plasma.

bioRxiv : the preprint server for biology·2026
Same author

Molecular Engineering of Piezoelectricity in L/L and L/D Amino Acid-Containing Dipeptide Assemblies.

ACS applied bio materials·2026
Same author

A Pilot Study of Multimodal Dosiomics and Longitudinal Delta-Radiomics for Predicting Radiation-Induced Xerostomia in Head-and-Neck Cancer.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same author

An aggregation state transition strategy for fluorescence imaging of pyrethroid residues.

Chemical communications (Cambridge, England)·2026
Same author

Antioxidant defenses of <i>Francisella tularensis</i> perturb Aim2 Inflammasome Activation.

bioRxiv : the preprint server for biology·2026
Same author

Machine learning prediction of postoperative recurrence in bladder cancer using clinical and laboratory indicators.

Scientific reports·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: Apr 10, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.7K

Exploring MLLMs Perception of Network Visualization Principles.

Jacob Miller, Markus Wallinger, Ludwig Felder

    IEEE Transactions on Visualization and Computer Graphics
    |April 8, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Multimodal Large Language Models (MLLMs) show human-like perception of network layout quality. These AI models, including GPT-4o, match expert human performance, demonstrating a facsimile of visual perception.

    More Related Videos

    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.6K
    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    1.3K

    Related Experiment Videos

    Last Updated: Apr 10, 2026

    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.7K
    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.6K
    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    1.3K

    Area of Science:

    • Artificial Intelligence
    • Computer Vision
    • Network Science

    Background:

    • Assessing the quality of network layouts is crucial for understanding complex systems.
    • Human perception of network properties, like stress, is well-documented but computationally challenging to replicate.
    • Multimodal Large Language Models (MLLMs) offer new possibilities for analyzing visual data.

    Purpose of the Study:

    • To evaluate if MLLMs can match human performance in perceiving properties of network layouts.
    • To compare MLLM performance against both human experts and non-experts.
    • To investigate the perceptual mechanisms employed by MLLMs in network analysis.

    Main Methods:

    • Replication of a human-subject experiment on network layout quality perception.
    • Utilizing advanced MLLMs such as GPT-4o, Gemini-2.5, and Qwen2.5.
    • Controlled experimental setup providing identical information to MLLMs and human participants.

    Main Results:

    • MLLMs achieved performance comparable to trained human experts.
    • MLLM performance surpassed that of untrained human non-experts.
    • Prompt engineering modifications led to superior-than-human performance in specific scenarios.
    • MLLMs appeared to use visual proxies, similar to humans, rather than direct stress value computation.

    Conclusions:

    • MLLMs demonstrate a significant capacity for perceiving network layout properties, mirroring human visual perception.
    • The findings suggest MLLMs can serve as valuable tools for network analysis and quality assessment.
    • Further research into MLLM perceptual mechanisms and prompt engineering is warranted for enhanced AI capabilities.