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Recent Applications of Information Visualization and Graphics
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Recent Applications of Information Visualization and Graphics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 10 January 2025 | Viewed by 5301

Special Issue Editor

Prof. Dr. Thomas Hurtut

E-Mail Website
Guest Editor
Computer Science Dppatment of Polytechnique Montréal, 2900, boul. Édouard-Montpetit, Montréal, QC H3T 1J4, Canada
Interests: data visualization; computer graphics

Special Issue Information

Dear Colleagues,

We are delighted to announce a Special Issue dedicated to the recent applications of information visualization and graphics, showcasing their transformative potential across various domains.

Information visualization and graphics play a vital role in representing complex data, enabling users to gain insights, make informed decisions, and communicate effectively. This Special Issue seeks to highlight the latest advancements and innovative applications in this field.

We invite researchers, practitioners, and experts to contribute their original research, case studies, and reviews that demonstrate cutting-edge approaches and practical applications. Topics of interest include interactive visualizations, visual data exploration and analysis, spatial and temporal data representation, uncertainty visualization, collaborative visualization, and immersive environments.

By bringing together a collection of high-quality articles, this Special Issue aims to provide valuable insights and knowledge to researchers, professionals, and students interested in the practical applications and advancements in information visualization and graphics. It will serve as a platform to exchange ideas, share experiences, and inspire interdisciplinary collaboration.

Join us in exploring the diverse range of applications where information visualization and graphics techniques have been employed, pushing the boundaries of how we understand and interact with complex data and information.

We look forward to your contributions to this exciting Special Issue on recent applications of information visualization and graphics.

Prof. Dr. Thomas Hurtut
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • information visualization
  • graphics
  • applications
  • spatial and temporal data
  • collaborative visualization
  • immersive environments
  • data exploration
  • applications
  • uncertainty visualization

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Published Papers (4 papers)

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Research

32 pages, 1052 KiB  
Article
A Model of Information Visualization Interpretation
by Michael G. Hilgers
Appl. Sci. 2024, 14(15), 6731; https://doi.org/10.3390/app14156731 - 1 Aug 2024
Viewed by 531
Abstract
Since the groundbreaking work by Cleveland and McGill in 1984, studies have revealed the difficulties humans have extracting quantitative data from visualizations as simple as bar graphs. As a first step toward understanding this situation, this paper proposes a mathematical model of the [...] Read more.
Since the groundbreaking work by Cleveland and McGill in 1984, studies have revealed the difficulties humans have extracting quantitative data from visualizations as simple as bar graphs. As a first step toward understanding this situation, this paper proposes a mathematical model of the interpretation effort of a bar graph using concepts drawn from eye tracking. First, three key areas of interest (AOIs) are identified, and fixations are modeled as random point clouds within the AOIs. Stochastic geometry is introduced via random triangles connecting fixations within the adjacent key visual regions. The so-called landmark methodology provides the basis for the probabilistic analysis of the constructed system. It is found that the random length of interest in a stochastic triangle has a noncentral chi distribution with a known mean. Unique to this model, in terms of previous landmark applications, is the inclusion of a correlation between fixations, which is justified by physiological studies of the eyes. This approach introduces several model parameters, such as the noncentrality parameter, variance of the fixation cloud, correlation between fixations, and a visualization scale. A detailed parametric analysis examining the dependence of the mean on these parameters is conducted. The paper ties this work to the visualization via a definition of the expected visual measurement error. An asymptotic analysis of the visual error is performed, and a simple expression is found to relate the expected visual measurement error to the key model parameters. From this expression, the influence these parameters have on a visualization’s interpretation is considered. Full article
(This article belongs to the Special Issue Recent Applications of Information Visualization and Graphics)
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35 pages, 5005 KiB  
Article
A Design Language for Prototyping and Storyboarding Data-Driven Stories
by Morteza Asgari and Thomas Hurtut
Appl. Sci. 2024, 14(4), 1387; https://doi.org/10.3390/app14041387 - 8 Feb 2024
Cited by 2 | Viewed by 1609
Abstract
Data-driven stories (DDS) are digital forms of storytelling that arrange data and visualizations to communicate a narrative of information to an audience. They have been growing rapidly over the past decades. As a result, a great degree of versatility appears in the forms [...] Read more.
Data-driven stories (DDS) are digital forms of storytelling that arrange data and visualizations to communicate a narrative of information to an audience. They have been growing rapidly over the past decades. As a result, a great degree of versatility appears in the forms of published DDS. The recent structures of DDS are more complex, respecting their arrangement, composition, features, and inner parts. In the current academic research, neither storytelling techniques nor any taxonomies suggest visual mechanisms to distinguish between different layouts, compositions, and arrangements. The lack of an expressive visual solution that integrates different parts of DDS under one structure prevents the authors from trying more alternative design paths in the story design process. In this proposed work, we unify all the constructing parts of DDS to define the narrative structure as a visually structured representation of the DDS narrative, which is formed and designed by their constructing elements. This solution proposes a design language consisting of a set of design rules that integrate the visual elements to represent the DDS narrative structure. Our evaluation of the audit process out of 100 DDS examples confirms that the design language is comprehensive, expressive, and versatile. Additionally, we developed DataStoryDesign, a system that incorporates this visual solution to facilitate prototyping and storyboarding DDS for a team of DDS authors. The preliminary result of the exploratory evaluation indicates that such a solution is effective in prototyping and storyboarding DDS. In addition, our findings confirmed that the existence of our design language improves the visual communication between different personas in the DDS production workflow. Full article
(This article belongs to the Special Issue Recent Applications of Information Visualization and Graphics)
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14 pages, 16977 KiB  
Article
CWD-Sim: Real-Time Simulation on Grass Swaying with Controllable Wind Dynamics
by Namil Choi and Mankyu Sung
Appl. Sci. 2024, 14(2), 548; https://doi.org/10.3390/app14020548 - 8 Jan 2024
Cited by 1 | Viewed by 1190
Abstract
In this paper, we propose algorithms for the real-time simulation of grass deformation and wind flow in complex scenes based on the Navier–Stokes fluid. Grasses play an important role in natural scenes. However, accurately simulating their deformation due to external forces such as [...] Read more.
In this paper, we propose algorithms for the real-time simulation of grass deformation and wind flow in complex scenes based on the Navier–Stokes fluid. Grasses play an important role in natural scenes. However, accurately simulating their deformation due to external forces such as the wind can be computationally challenging. We propose algorithms that minimize computational cost while producing visually appealing results. We do this by grouping the grass blades and then applying the same force to the group to reduce the computation time. We also use a quadratic equation to deform the blades affected by the wind force rather than using a complicated spline technique. Wind force is fully modeled by the Navier–Stokes fluid equation, and the blades react to this force as if they were being swept by the wind. We also propose the AGC interface (Arrow-Guided wind flow Control), which allows the direction and intensity of the wind to be manipulated using an arrow-shaped interface. Through this interface, users can have grass sway in response to user-defined wind forces in a real-time rate. We verified that the proposed algorithms can simulate 900% more grass blades than the compared paper’s algorithms. Full article
(This article belongs to the Special Issue Recent Applications of Information Visualization and Graphics)
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28 pages, 12362 KiB  
Article
Enhancing Color Scales for Active Data Physicalizations
by Cleyton Barbosa, Thiago Sousa, Walbert Monteiro, Tiago Araújo and Bianchi Meiguins
Appl. Sci. 2024, 14(1), 166; https://doi.org/10.3390/app14010166 - 24 Dec 2023
Cited by 1 | Viewed by 1092
Abstract
Data Physicalization is the area that investigates how physical objects can encode data through their physical (geometry and materials) and visual features. In the information visualization field, color plays a fundamental role in communicating and encoding data, and it is no different for [...] Read more.
Data Physicalization is the area that investigates how physical objects can encode data through their physical (geometry and materials) and visual features. In the information visualization field, color plays a fundamental role in communicating and encoding data, and it is no different for data physicalization. However, in the real world, color perception can be influenced by the material that composes the data physicalization, the environment’s brightness, and the characteristics of the light-emitting device. Thus, this article presents a process to evaluate and select colors to compose color palettes (categorical, sequential, and divergent) for data physicalizations, considering the perceptual distance between the chosen colors and the brightness of the light-emitting device for evaluating the influence of neighboring colors. Additionally, users perform Information Visualization tasks (identification, comparison, maximums, minimums, etc.) with different color palettes of the industry and literature in a physical 3D bar chart composed of LED strips. The initial results showed better performance by participants using the proposed color scales in Information Visualization tasks than those using traditional digital color scales. Finally, the steps carried out culminated in the proposition of a pipeline for evaluating and creating color scales for data physicalization, considering the features of the light-emitting device and the material used in the data physicalization. Full article
(This article belongs to the Special Issue Recent Applications of Information Visualization and Graphics)
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