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

Statgraphics01:10

Statgraphics

149
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
149
Methods of Documentation IV: Focus Charting01:26

Methods of Documentation IV: Focus Charting

1.0K
Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
It typically involves three columns for recording information:
1.0K
Visual System01:26

Visual System

613
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...
613
Interpreting Run Charts01:25

Interpreting Run Charts

126
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
126
Run Charts01:12

Run Charts

77
Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
77
Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

824
The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
824

You might also read

Related Articles

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

Sort by
Same author

A User Interface (UI) and User eXperience (UX) evaluation framework for cyberlearning environments in computer science and software engineering education.

Heliyon·2020
See all related articles

Related Experiment Video

Updated: Jul 15, 2025

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.3K

A Comprehensive Evaluation Framework of Software Visualizations Effectiveness.

Hakam W Alomari, Christopher Vendome, Lane Rizkallah

    IEEE Transactions on Visualization and Computer Graphics
    |October 2, 2023
    PubMed
    Summary

    Evaluating software visualization tools is crucial for adoption. This study introduces a new multi-dimensional framework to assess visualization effectiveness, considering qualitative, quantitative, and cognitive aspects for better tool design.

    More Related Videos

    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
    Interactive and Visualized Online Experimentation System for Engineering Education and Research
    08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

    2.5K

    Related Experiment Videos

    Last Updated: Jul 15, 2025

    Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
    06:02

    Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

    Published on: October 6, 2020

    2.3K
    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
    Interactive and Visualized Online Experimentation System for Engineering Education and Research
    08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

    2.5K

    Area of Science:

    • Software Engineering
    • Human-Computer Interaction
    • Information Visualization

    Background:

    • Software visualization aids understanding complex systems, reducing cognitive load for practitioners.
    • Evaluating the effectiveness of these visualizations is a significant challenge, hindering tool adoption.
    • Current frameworks primarily focus on expressiveness, neglecting other crucial effectiveness aspects.

    Purpose of the Study:

    • To propose a novel multi-dimensional evaluation framework for software visualizations.
    • To address the gap in quantifying visualization effectiveness beyond expressiveness.
    • To provide a structured approach for designing and evaluating software visualization tools.

    Main Methods:

    • Developed a multi-dimensional framework encompassing qualitative, quantitative, and cognitive aspects.
    • The framework includes seven main dimensions and twenty-eight features.
    • Validated the framework by applying it to evaluate existing software visualization tools.

    Main Results:

    • The proposed framework offers a comprehensive approach to visualization evaluation.
    • Effectiveness is evaluated across multiple dimensions, including four sub-dimensions.
    • Validation confirmed the framework's applicability in assessing and guiding the design of visualization tools.

    Conclusions:

    • The multi-dimensional framework effectively addresses the need for quantifiable evaluation of software visualizations.
    • It supports the design and assessment of new visualization techniques and tools for software engineering tasks.
    • This approach can lead to more effective and widely adopted software visualization solutions.