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

Decision Making: P-value Method01:09

Decision Making: P-value Method

5.8K
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...
5.8K
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.3K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.3K
Principle of Virtual Work: Problem Solving01:13

Principle of Virtual Work: Problem Solving

1.3K
The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
To apply the principle of virtual work,...
1.3K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.2K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.2K
Reason and Intuition01:37

Reason and Intuition

6.9K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.9K
Hindsight Biases01:12

Hindsight Biases

4.0K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
4.0K

You might also read

Related Articles

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

Sort by
Same author

Design guidelines for animated data visualization based on perceptual capacity limits.

Cognitive research: principles and implications·2026
Same author

Perception of Visual Variables on Virtual Wall-Sized Tiled Displays in Immersive Environments.

IEEE transactions on visualization and computer graphics·2025
Same author

User Experience of Visualizations in Motion: A Case Study and Design Considerations.

IEEE transactions on visualization and computer graphics·2024
Same author

Talk to the Wall: The Role of Speech Interaction in Collaborative Visual Analytics.

IEEE transactions on visualization and computer graphics·2024
Same author

Designing for Visualization in Motion: Embedding Visualizations in Swimming Videos.

IEEE transactions on visualization and computer graphics·2023
Same author

Geo-Storylines: Integrating Maps into Storyline Visualizations.

IEEE transactions on visualization and computer graphics·2022

Related Experiment Video

Updated: Sep 24, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K

Understanding How In-Visualization Provenance Can Support Trade-Off Analysis.

Mehdi Chakhchoukh, Nadia Boukhelifa, Anastasia Bezerianos

    IEEE Transactions on Visualization and Computer Graphics
    |May 4, 2022
    PubMed
    Summary

    Analytic provenance mechanisms in VisProm aid experts in recalling and tracking complex trade-off analyses. This system supports key tasks in decision-making across domains like agronomy and manufacturing.

    More Related Videos

    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
    07:05

    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

    Published on: October 27, 2016

    9.3K
    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.2K

    Related Experiment Videos

    Last Updated: Sep 24, 2025

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
    10:44

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

    Published on: December 7, 2021

    2.3K
    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
    07:05

    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

    Published on: October 27, 2016

    9.3K
    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.2K

    Area of Science:

    • Decision Science
    • Information Visualization
    • Human-Computer Interaction

    Background:

    • Trade-off analysis is crucial in domains like agronomy and manufacturing but is complex and difficult to revisit.
    • Existing methods lack effective mechanisms for experts to recall and track multi-objective decision-making processes over time.

    Purpose of the Study:

    • To investigate the utility of analytic provenance mechanisms for supporting trade-off analysis.
    • To understand user needs and explore the role of provenance in aiding experts' recall and tracking of complex decisions.

    Main Methods:

    • Implementation of VisProm, a web-based trade-off analysis system with integrated provenance visualization.
    • Conducting observation sessions with experts analyzing their own data using VisProm as a technology probe.

    Main Results:

    • Identification of eight high-level tasks in trade-off analysis, such as locating interest zones, and how provenance visualization supports them.
    • Refinement of provenance purposes (recall, reproduce) with specific objects relevant to trade-off analysis (interest zones, exploration structure).
    • Insights into how provenance objects and VisProm designs support analysis tasks during revisiting and active exploration.

    Conclusions:

    • Provenance visualization effectively supports complex trade-off analysis tasks by aiding recall and tracking of decision-making processes.
    • VisProm offers a valuable tool for understanding user needs and advancing the application of provenance in multi-objective decision support.
    • New opportunities exist for provenance-driven analysis, including monitoring trade-off space coverage and tracking alternative scenarios.