Dear Colleagues,

Understanding data can mean the difference between life and death. For example, understanding the results of medical research, the population affected during a pandemic, climate change, etc., can lead to better policies and regulations. Data visualization provides human beings with intuitive means to interactively explore and analyze massive datasets, which can be dynamic, noisy and heterogeneous, enabling them to effectively identify interesting patterns and infer correlations, making it possible to amplify human cognition. Graphical displays not only allow us to visualize and analyze the message contained in the data, but also to remember it, since (for most people) visual memory is more persistent than verbal or auditory memory.

While data visualization has great potential in allowing humans to quickly understanding huge datasets, we are currently facing a reality with new rules, such as the increasing volume and heterogeneity of data. Conventional visualization techniques are seldom adapted to manage and process this mass of information, exhibiting poor performance results in terms of functionality, scalability, interaction, infrastructure, insight creation, and evaluation. Traditional visualization tools have reached their limits when encountering very large data sets that are evolving continuously; therefore, current challenges in data visualization involve data storage, querying, indexing, visual presentation, interaction, and personalization, among others.

This Special Issue aims to provide a collection of high-quality research articles that address broad challenges in both theoretical and applied aspects of data visualization, including the exploration of novel interaction paradigms, such as augmented and extended realities. We also encourage the submission of applied work in any field of knowledge, as well as the consideration of interdisciplinary work.

Prof. Dr. Cristina Portalés Ricart
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. Multimodal Technologies and Interaction 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.

• interaction paradigms
• visual devices
• virtual environments
• knowledge transfer
• user-centered approaches
• visualization techniques
• scientific visualizations
• color-blind friendly solutions
• graphs and maps
• multidimensional data representation
• multimodal approaches
• data visualization for policymaking