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

Social Exchange Theory01:26

Social Exchange Theory

615
As formulated by John Thibaut and Harold Kelley, Social Exchange Theory explains human relationships as economic-like exchanges that maximize rewards and minimize costs. This theory suggests that individuals engage in relationships to gain benefits and reduce burdens, similar to economic transactions. It has been widely applied to various types of relationships, including romantic, professional, and social interactions.Rewards and Costs in RelationshipsRelationship rewards include emotional...
615
Models, Theories, and Laws01:16

Models, Theories, and Laws

9.5K
Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
9.5K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

376
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
376
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

312
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
312
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

301
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
301
Modeling in Therapy01:26

Modeling in Therapy

627
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
627

You might also read

Related Articles

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

Sort by
Same author

Radiological outcomes following surgical fixation with wires versus moulded cast for patients with a dorsally displaced fracture of the distal radius: a radiographic analysis from the DRAFFT2 trial.

Bone & joint open·2024
Same author

Stitching Locally Fitted T-Splines for Fast Fitting of Large-Scale Freeform Point Clouds.

Sensors (Basel, Switzerland)·2023
Same author

Diagnostic Needle Arthroscopy of the Shoulder: A Validation Study.

Orthopaedic journal of sports medicine·2023
Same author

`Friend or foe' and decision making initiative in complex conflict environments.

PloS one·2023
Same author

Investigating resilience in emergency management: An integrative review of literature.

Applied ergonomics·2020
Same author

An unusual exostotic lesion of the maxillary sinus from Roman Lincoln.

International journal of paleopathology·2017

Related Experiment Video

Updated: Mar 7, 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

1.6K

The Situation Awareness Weighted Network (SAWN) model and method: Theory and application.

Alexander Kalloniatis1, Irena Ali1, Timothy Neville2

  • 1Defence Science and Technology Group, David Warren Building, 24 Scherger Drive, Canberra, ACT 2609, Australia.

Applied Ergonomics
|February 27, 2017
PubMed
Summary

This study introduces the Situation Awareness Weighted Network (SAWN) model to quantify how military staff develop Situation Awareness (SA) in distributed organizations. SAWN visualizes SA flow through networks of people and information, aiding organizational performance analysis.

Keywords:
Case studiesEmpirical modelNetwork analysisSituation awareness

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

6.1K
Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

578

Related Experiment Videos

Last Updated: Mar 7, 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

1.6K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

6.1K
Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

578

Area of Science:

  • Organizational Psychology
  • Information Science
  • Military Science

Background:

  • Situation Awareness (SA) is crucial for organizational performance, especially in distributed military settings.
  • Existing models of SA focus on individual cognitive processes or network structures, but lack integration.
  • Understanding SA generation in complex military operations requires novel modeling approaches.

Purpose of the Study:

  • To introduce and validate the Situation Awareness Weighted Network (SAWN) model for analyzing SA generation in distributed organizations.
  • To develop an empirical data collection method to support the SAWN model.
  • To quantify the flow of SA within military staff networks during different operational contexts.

Main Methods:

  • Developed the empirically derived Situation Awareness Weighted Network (SAWN) model, integrating Endsley's and Stanton et al.'s SA theories.
  • Created a data collection method to capture interactions between human nodes and product nodes (information artifacts).
  • Applied the SAWN model to aggregated empirical data from Australian military staff in steady-state and crisis scenarios.

Main Results:

  • The SAWN model represents SA as a weighted semi-bipartite network, with link weights indicating SA levels.
  • Analysis quantified the flow of SA through the organization as staff added value.
  • The model effectively illustrated SA dynamics in both steady-state and crisis military contexts.

Conclusions:

  • The SAWN model provides a novel, quantifiable method to understand SA generation and flow in distributed organizations.
  • The SAWN approach enhances the analysis of organizational performance by visualizing SA dynamics.
  • This model offers valuable insights for improving information sharing and decision-making in military and other complex environments.