Visualizing Uncertainty in Lattices to Support Decision-Making. Collins, C., Carpendale, S., & Penn, G. In Proceedings of the Eurographics/IEEE VGTC Symposium on Visualization, Norrköping, Sweden, May, 2007. http://diglib.eg.orgabstract bibtex 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.
@InProceedings{ collins1,
author = {Christopher Collins and Sheelagh Carpendale and Gerald
Penn},
title = {Visualizing Uncertainty in Lattices to Support
Decision-Making},
booktitle = {{Proceedings of the Eurographics/IEEE VGTC Symposium on
Visualization}},
address = {Norrköping, Sweden},
month = {May},
year = {2007},
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.},
note = {http://diglib.eg.org}
}
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