Making Data Harder to Read: Visualizations that Intentionally Increase Time and Effort
Year: 2025
Type: conference-paper
Abstract: This position paper questions the common prioritization of data visualization designs that minimize the time and effort required from viewers, particularly in the context of communicative visualizations. Our argument is grounded in observations of designs that deliberately increase reading time and physical effort. While decreasing efficiency, it enhances other communication purposes. We illustrate such approaches with three examples focused on communicating environmental issues. We then argue that this kind of design deserves more attention in the visualization community and conclude with future research opportunities.
Authors: Leni Yang, Pierre Dragicevic, Yvonne Jansen
Institutions: Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Centre Inria de l'université de Bordeaux, BIVWAC: Construire des visualisations immersives pour favoriser la compréhension, la prise de conscience, et le bien-être, Université de Bordeaux, Laboratoire Bordelais de Recherche en Informatique
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Agence Nationale de la Recherche
OpenAlex ID: W4416554238
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