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

High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

567
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
567
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.0K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.0K
Stress: General Loading Conditions01:15

Stress: General Loading Conditions

482
To grasp the intricacy of real-world conditions where multiple loads are applied simultaneously to a structure, one might visualize a section passing through a specific point within a body, aligned parallel to the xy plane. This section is subjected to various forces, including original loads, normal forces, and shearing forces.
The shearing force, possessing potential directionality within the plane of the section, is simplified into two component forces running parallel to the x and y axes....
482
Fatigue01:21

Fatigue

757
Fatigue occurs when materials rupture under repeated or fluctuating loads, even at stress levels far below their static breaking strength. It typically results in brittle failure, even for ductile materials. It is a critical consideration in designing machines and structural components subjected to repetitive or varying loads. The nature of these loadings can range from fluctuating loads like unbalanced pump impellers causing vibrations to repeatedly bending a thin steel rod wire back and forth...
757

You might also read

Related Articles

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

Sort by
Same author

Nonlinear Science Leaps Forward … Again.

Nonlinear dynamics, psychology, and life sciences·2025
Same author

Catastrophe Modelling for Time Series of Reported Cases of COVID-19: Workload Effects in the Health Care System.

Nonlinear dynamics, psychology, and life sciences·2025
Same author

Understanding the Role of Autonomic Synchrony in the Swallowtail Catastrophe Model of Leadership Emergence.

Nonlinear dynamics, psychology, and life sciences·2025
Same author

Cusp Catastrophe Models and the Role of Synchrony in Cognitive Workload and Fatigue in Teams.

Nonlinear dynamics, psychology, and life sciences·2025
Same author

Introduction to Emergence in Social Systems.

Nonlinear dynamics, psychology, and life sciences·2025
Same author

Simultaneous Emergent Phenomena: Leadership and Team Synchrony.

Nonlinear dynamics, psychology, and life sciences·2025
Same journal

Interlocking Director Networks and Systemic Risk in Financial Institutions.

Nonlinear dynamics, psychology, and life sciences·2026
Same journal

Investigating the Physiological Role of Fractal Pupil Oscillations.

Nonlinear dynamics, psychology, and life sciences·2026
Same journal

State Space Theory as a Unifying Framework for Consciousness.

Nonlinear dynamics, psychology, and life sciences·2026
Same journal

Stability in a Two-Strain Dengue Model with a Constant Recruitment.

Nonlinear dynamics, psychology, and life sciences·2026
Same journal

Quantum Fractal Art: Bringing Fractals into the Age of Quantum Computing.

Nonlinear dynamics, psychology, and life sciences·2025
Same journal

The "Two Worlds, Two Urns" Experiment: A Teacher's Reflection on Ergodicity and Economic Methodology.

Nonlinear dynamics, psychology, and life sciences·2025
See all related articles

Related Experiment Video

Updated: Dec 25, 2025

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

12.5K

Cognitive Workload and Fatigue Dynamics in a Chaotic Forecasting Task.

Stephen J Guastello1, William Futch1, Lucas Mirabito1

  • 1Marquette University, Milwaukee, WI.

Nonlinear Dynamics, Psychology, and Life Sciences
|April 7, 2020
PubMed
Summary
This summary is machine-generated.

Forecasting chaotic events is challenging. This study found cognitive elasticity and compensatory abilities significantly impact performance under cognitive workload and fatigue, using cusp catastrophe models.

More Related Videos

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

1.1K
Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat
11:18

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat

Published on: September 12, 2014

15.6K

Related Experiment Videos

Last Updated: Dec 25, 2025

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

12.5K
Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

1.1K
Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat
11:18

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat

Published on: September 12, 2014

15.6K

Area of Science:

  • Cognitive Psychology
  • Complexity Science
  • Human Factors

Background:

  • Forecasting chaotic events is crucial for adaptive action but poorly understood.
  • Cognitive processes underlying this rare ability require further investigation.
  • Stressors like workload and fatigue may significantly impact chaotic forecasting performance.

Purpose of the Study:

  • To examine how cognitive workload and fatigue affect performance dynamics in chaotic forecasting.
  • To model these effects using cusp catastrophe models.
  • To identify cognitive variables influencing performance under stress.

Main Methods:

  • 147 undergraduates forecasted chaotic number series and graphs.
  • Cusp catastrophe models were employed to analyze performance dynamics.
  • Cognitive elasticity/rigidity, compensatory abilities, and subjective workload (NASA TLX) were measured.

Main Results:

  • Workload cusp model: R² = .56, significantly outperforming linear models (R² = .12). Included six bifurcation variables and three workload measures.
  • Fatigue cusp model: R² = .54, significantly outperforming linear models (R² = .07). Included one bifurcation variable and two compensatory abilities.
  • Field independence was a key elasticity variable for workload and a compensatory ability for fatigue.

Conclusions:

  • Cognitive elasticity and compensatory abilities play a significant role in chaotic forecasting under stress.
  • Cusp catastrophe models effectively capture performance dynamics influenced by workload and fatigue.
  • Future research should explore the transferability of chaotic forecasting skills to complex system management.