Visualization and Decision Making Design Under Uncertainty

Journal Article · Thu Sep 14 04:00:00 EDT 2023 · IEEE Computer Graphics and Applications

DOI:https://doi.org/10.1109/MCG.2023.3302172· OSTI ID:2203910

Boukhelifa, Nadia; Johnson, Chris R.; Potter, Kristin

Uncertainty is an important aspect to data understanding. Without awareness of the variability, error, or reliability of a dataset, the ability to make decisions on that data is limited. However, practices around uncertainty visualization remain domain-specific, rooted in convention, and in many instances, absent entirely. Part of the reason for this may be a lack of established guidelines for navigating difficult choices of when uncertainty should be added, how to visualize uncertainty, and how to evaluate its effectiveness. Unsurprisingly, the inclusion of uncertainty into visualizations is a major challenge to visualization. As work concerned with uncertainty visualization grows, it has become clear that simple visual additions of uncertainty information to traditional visualization methods do not appropriately convey the meaning of the uncertainty, pose many perceptual challenges, and, in the worst case, can lead a viewer to a completely wrong understanding of the data. These challenges are the driving motivator for this special issue.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 2203910
• Report Number(s): NREL/JA-2C00-87849; MainId:88624; UUID:f7b7c185-d81b-499b-88d4-d28af433b7d3; MainAdminID:70946
• Journal Information: IEEE Computer Graphics and Applications, Journal Name: IEEE Computer Graphics and Applications Journal Issue: 5 Vol. 43
• Country of Publication: United States
• Language: English

Related Subjects

MATHEMATICS AND COMPUTING
data models
decision making
uncertainty
visualization