Visualization of Uncertainty in Lattices to Support Decision-Making

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Date
2007
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Lattice graphs are used as underlying data structures in many statistical processing systems, including natural language processing. Lattices compactly represent multiple possible outputs and are usually hidden from users. We present a novel visualization intended to reveal the uncertainty and variability inherent in statistically-derived lattice structures. Applications such as machine translation and automated speech recognition typically present users with a best-guess about the appropriate output, with apparent complete confidence. Through case studies we show how our visualization uses a hybrid layout along with varying transparency, colour, and size to reveal the lattice structure, expose the inherent uncertainty in statistical processing, and help users make better-informed decisions about statistically-derived outputs.
Description

        
@inproceedings{
:10.2312/VisSym/EuroVis07/051-058
, booktitle = {
Eurographics/ IEEE-VGTC Symposium on Visualization
}, editor = {
K. Museth and T. Moeller and A. Ynnerman
}, title = {{
Visualization of Uncertainty in Lattices to Support Decision-Making
}}, author = {
Collins, Christopher
and
Carpendale, Sheelagh
and
Penn, Gerald
}, year = {
2007
}, publisher = {
The Eurographics Association
}, ISSN = {
1727-5296
}, ISBN = {
978-3-905673-45-6
}, DOI = {
/10.2312/VisSym/EuroVis07/051-058
} }
Citation