Abstract
Abstract
When designing Information Visualisations for Media and Information Literacy (MIL) initiatives, a significant challenge lies in ensuring that they effectively transmit and consolidate knowledge, particularly when the Information Visualisation literacy of the audience is unknown. Applying a Research through Design approach, this article describes a meta-process: the reflective and iterative path that led to the definition of DDENSO, a replicable design methodology for creating and evaluating Information Visualisations that allow for knowledge retention. Grounded in prior theoretical and practical experience in Information Design, DDENSO emerged through the development of the artefacts for a MIL exhibition exploring the social implications of Artificial Intelligence. It is structured around what we call Knowledge Objectives which, we argue, can contribute to the broader debate on Information Design as a critical tool for transmitting knowledge that sticks, by integrating evaluation as a core element of the design process.
Direct answer
What can I do from this paper page?
Use this page to scan "DDENSO: an evaluation-driven methodology for information visualisations" quickly: start with the summary and abstract, then check the authors, source, topics, and related papers. From here, open Scollr to follow Data Visualization and Analytics research, save the paper, or map adjacent work.
Research areas
Follow related topics
Citation
BibTeX
@article{Mauri2026DDENSO,
title = {DDENSO: an evaluation-driven methodology for information visualisations},
author = {Michele Mauri and Elena Aversa and Anna Cattaneo and María de los Ángeles Briones Rojas},
journal = {Proceedings of DRS},
year = {2026},
doi = {10.21606/drs.2026.1396},
url = {https://doi.org/10.21606/drs.2026.1396}
}
FAQ
Using this paper in a discovery workflow
How do I find related work for this paper?
Use the related papers and topic links on this page as starting points. In Scollr, you can also open the paper and build a literature map around its references, citing papers, and related work.
How can I keep up with new Data Visualization and Analytics research papers?
Follow Data Visualization and Analytics research in Scollr. New papers from the topic flow into a personalized feed, and you can save useful studies to revisit later.
Can I cite this paper from this page?
This page includes a static BibTeX block for DDENSO: an evaluation-driven methodology for information visualisations. Always verify the DOI, source, and publication details against the publisher record before submitting a manuscript.
Follow this research in Scollr
Follow the topics and authors behind this paper, save useful studies, and build a literature map when you are ready to go deeper.
Get the app