Certainly Uncertain: Reintroducing Uncertainty in Visualizations
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Information Diffusion (ID) is shaped by uncertainty, yet most visualizations overlook it, leading to oversimplified or misleading interpretations. This work enhances two existing ID visualizations by integrating uncertainty through visual encodings within the original research goals. We are exploring how visualizing uncertainty might influence interpretation, including the potential for signal suppression or amplification. We discuss design alternatives and insights that apply to visualizing uncertainty in two existing visualization techniques. Future work directions are focusing on evaluating the designs and eliciting user feedback and comments on the interpretability and intuitiveness of the proposed uncertainty visualization encodings.
Description
CCS Concepts: Human-centered computing → Visualization
@inproceedings{10.2312:evp.20251123,
booktitle = {EuroVis 2025 - Posters},
editor = {Diehl, Alexandra and Kucher, Kostiantyn and Médoc, Nicolas},
title = {{Certainly Uncertain: Reintroducing Uncertainty in Visualizations}},
author = {Rajendran, Sandhya and Arleo, Alessio and Miksch, Silvia and Tuscher, Michaela and Filipov, Velitchko Andreev},
year = {2025},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-286-8},
DOI = {10.2312/evp.20251123}
}