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

Irritable Bowel Syndrome II: Clinical Features and Diagnostic Evaluation01:30

Irritable Bowel Syndrome II: Clinical Features and Diagnostic Evaluation

766
Irritable Bowel Syndrome II: Clinical Features and Diagnostic Evaluation
Irritable Bowel Syndrome (IBS) is classified into subtypes based on the predominant bowel habits as determined by the Bristol Stool Form Scale (BSFS). The subtypes are:
766
Muscles that Move the Head01:19

Muscles that Move the Head

5.8K
The muscles that move the head are a dynamic and complex group of structures that work together to facilitate a wide range of head movements, including rotation, flexion, extension, and lateral bending.
The bilateral sternocleidomastoid, or SCM, and the suprahyoid and infrahyoid muscles are significant head flexors. The SCM muscles originate at the sternum and clavicle and attach to the mastoid process of the temporal bone. The SCM contracts bilaterally to bend the head forward, whereas...
5.8K
Decision Making01:20

Decision Making

944
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
944
Aggregates Classification01:29

Aggregates Classification

1.0K
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
1.0K
Decision Making: P-value Method01:09

Decision Making: P-value Method

6.9K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
6.9K
Arteries of the Head and Neck01:26

Arteries of the Head and Neck

3.2K
The human body's intricate network of arteries ensures that every organ system receives the necessary oxygen and nutrients for optimal function. The arterial network in the head and neck region is particularly complex, providing vital blood flow to the brain, eyes, and other critical structures. Prominent arteries in this region include the internal carotid arteries and the vertebral arteries.
The internal carotid arteries supply blood to the anterior portion of the cerebrum. They enter the...
3.2K

You might also read

Related Articles

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

Sort by
Same author

Current status, development and challenges in the treatment of chronic graft-versus-host disease.

Medical review (2021)·2026
Same author

Recent progress in side-chain amino acid-based polymers: synthesis, self-assembly, and emerging biomedical applications.

Journal of materials chemistry. B·2026
Same author

Bifidobacterium bifidum TMC3115-RAW264.7 cell conditioned mediums promote the synaptic development of primary hippocampal neuron via activating IL-6/JAK2/STAT3 signaling pathway.

Brain, behavior, and immunity·2026
Same author

Comparative Analysis of Microbial Community Structure and Functional Traits of Baijiu Daqu Across Diverse Geographical Regions in China.

Foods (Basel, Switzerland)·2026
Same author

Single-cell analyses identify the ginseng embryonic protoderm as a native compartment for high-efficiency ginsenoside production.

Nature communications·2026
Same author

Comparative analysis of goat milk flavor during different lactation and its interactions with fatty acids and nutrients.

Journal of dairy science·2026
Same journal

Multiomics Profiling During Autoimmune Demyelination Highlights a Complex Regulatory Role for Ataxin-1 in B Cells.

Annals of the New York Academy of Sciences·2026
Same journal

Global Trends in Light Pollution and Their Relationship With Socioeconomic Factors.

Annals of the New York Academy of Sciences·2026
Same journal

Wired for Corruption: Inter-Brain Synchrony Encodes Bribery-Related Value Information and Predicts Bribery Agreement.

Annals of the New York Academy of Sciences·2026
Same journal

LM-YOLO: A Lightweight Multi-Scale Enhanced Model for Forest Smoke Detection Using Unmanned Aerial Vehicles.

Annals of the New York Academy of Sciences·2026
Same journal

Polyrhythm Perception and Production: A Scoping Review.

Annals of the New York Academy of Sciences·2026
Same journal

DARTS-CNN-BiLSTM: Intelligent Fault Diagnosis for Computer Numerical Control Machine Tool Feed System.

Annals of the New York Academy of Sciences·2026
See all related articles

Related Experiment Video

Updated: Jan 28, 2026

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
06:18

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

Published on: May 24, 2024

2.7K

Hierarchical Feature Evaluation and Decision‑Making for In-Vehicle Augmented-Reality Head-Up Display Based on

Hongru Chen1,2, Weixing Wang1,2, Jiaqi Gao1,2

  • 1School of Mechanical Engineering, Guizhou University, Guiyang, China.

Annals of the New York Academy of Sciences
|January 27, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new decision-making method for evaluating automotive augmented-reality head-up displays (AR-HUDs), improving performance assessment accuracy and robustness in intelligent driving systems.

Keywords:
driving safety ergonomicshierarchical synergistic evaluationhuman–computer interface interactionin‐vehicle AR‐HUDmulticriteria decision‐making

More Related Videos

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone
09:26

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Published on: January 2, 2020

19.0K
Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
05:43

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Published on: November 30, 2022

2.9K

Related Experiment Videos

Last Updated: Jan 28, 2026

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
06:18

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

Published on: May 24, 2024

2.7K
Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone
09:26

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Published on: January 2, 2020

19.0K
Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
05:43

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Published on: November 30, 2022

2.9K

Area of Science:

  • Engineering
  • Human-Computer Interaction
  • Fuzzy Set Theory

Background:

  • Automotive augmented-reality head-up displays (AR-HUDs) are rapidly advancing in intelligent driving systems.
  • Evaluating AR-HUD performance is challenging due to data heterogeneity and cognitive uncertainty.

Purpose of the Study:

  • To develop a comprehensive decision-making method for multidimensional AR-HUD performance evaluation.
  • To address data heterogeneity and cognitive uncertainty in performance assessment.

Main Methods:

  • A novel hierarchical evaluation framework separating static basic information layer (SBIL) and dynamic AR fusion layer (DAFL).
  • Integration of Pythagorean fuzzy set and Hamacher confidence-weighted aggregation operator (PyHa-CWAO).
  • Application of DEMATEL for causal relationships and VIKOR for multicriteria ranking, forming the PyHa-CWAO-DEMATEL-VIKOR model.
  • Proposal of a hyperbolic tendency-confidence fused scoring model to capture hesitation and confidence.

Main Results:

  • The proposed model demonstrated improved ranking consistency by 14% compared to established methods.
  • A driving-simulation and eye-tracking experiment validated the model using 10 AR-HUD prototypes and 12 indicators.
  • The model proved robust and practically valuable for AR-HUD evaluation.

Conclusions:

  • The developed decision tool is accurate, resilient, and extensible for AR-HUDs and other extended reality interfaces.
  • This work enriches fuzzy-decision theory and provides a methodological foundation for virtual human-computer interaction optimization.