Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
1.2 COMPUTER AND INFORMATION SCIENCE
Abstract
Context-aware systems typically use data sensed from the environment to drive adaptive behaviour. Sensed data is inherently imprecise and uncertain: in addition, new uncertainties are introduced when sensed data is fused with other data to infer context at the more abstract level of situations. We present an uncertainty model which aggregates context uncertainty and provides mechanisms to capture uncertainty at situation level. We demonstrate the application of the model in a sample scenario using an experimental data set
DOI
https://doi.org/10.21427/gqs6-xf45
Recommended Citation
McKeever, S., Ye, J, & Coyle, L. (2008). A Multilayered Uncertainty Model for Context Aware Systems, Pervasive 2008 Late Breaking Results, May, Sydney, Australia. doi:10.21427/gqs6-xf45
Publication Details
Pervasive 2008 Late Breaking Results, May 2008, Sydney, Australia