Interactive Visualizations: Design, Technologies and Applications
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 874
Special Issue Editor
Interests: process-/behavior- analytics; learning analytics; feedback/recommendation automation; visual analytics dashboards; model-driven engineering; low code; business intelligence and applications; explainable AI; educational technology
Special Issue Information
Dear Colleagues,
In the current era of information abundance, the ability to distill actionable knowledge from massive datasets is critical. Interactive visualizations offer a dynamic and intuitive avenue for researchers, analysts, and decision makers to navigate complex data landscapes. By merging data-driven narratives with user-driven exploration, interactive visualizations empower users to uncover patterns, trends, and correlations that might otherwise remain obscured. Moreover, these visualizations provide a scalable solution to the challenges of rendering and comprehending extensive datasets, enabling users to zoom in on specific areas of interest and thus enhance interpretability. While interactive visualizations hold immense promise, there is a significant gap in scientific literature within the domain. Challenges such as ensuring real-time responsiveness with intuitive interface design and establishing standardized practices need further exploration. We encourage submissions that address these gaps, present innovative design methodologies, and propose novel evaluation frameworks. Our Special Issue serves as a platform to catalyze research at the intersection of big data and interactive visualizations. By fostering discussions on effective techniques, novel approaches, and emerging trends, we aim to advance the capabilities of visual analytics domain and interactive visualizations specifically in extracting actionable insights in the era of big data. Researchers and practitioners are invited to contribute their original work to enrich our collective understanding and pave the way for a more informed and data-driven future.
Submission Guidelines:
Contributions should ideally address the existing gaps in literature and advance the field, such as challenges with innovative methodologies and solutions, comparative analysis, as well as practical applications. The scope of use cases encompasses a broad spectrum of domains as diverse as education (e.g., learning analytics dashboards), financial analysis, marketing and customer analytics, sports analytics, varied recommender systems for domains of agri-food (e.g., crop management, culinary, dietary, and healthy lifestyle), supply chain management, energy consumption and sustainability, transportation and traffic management, fraud pattern detection and law enforcement, climate and environmental monitoring, urban planning, smart cities with the Internet of Things (IoT), healthcare such as medical imaging, clinical data analysis, disease tracking, neuroscience, surgical planning and simulation, and beyond.
Each submission will undergo a peer-review process to ensure the highest standards of quality and relevance, thereby fostering a collection of contributions that significantly advance the field of interactive visualizations and their transformative impact across diverse domains.
Dr. Gayane Sedrakyan
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. Information is an international peer-reviewed open access monthly 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 1600 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
- interactive visualizations
- information visualization
- visual analytics
- scalable visualizations
- big data visualizations
- data visualizations
- novel visualizations techniques
- interactive data exploration
- dynamic visualizations
- collaborative visualizations
- text and document visualization
- visual analytics dashboards
- KPI visualizations
- interactive dashboards
- interactive charts and graphs
- interactive 3D visualizations
- data driven interaction
- responsive visualizations
- interactive visualization tools
- hybrid visualization approaches
- cognitive load in interactive visualizations
- engaging visualizations
- interactive data presentation
- adaptive visualization interfaces
