From Ill-defined Problems to Informed Decisions

Roberts, Jonathan; Keim, Daniel; Hanratty, Timothy; Rowlingson, Robert; Walker, Rick; Hall, Mark; Jackobson, Zack; Lavigne, Valerie; Rooney, Chris; Varga, Margaret

From Ill-defined Problems to Informed Decisions

Files

007-011.pdf (305.76 KB)

Date

2014

Authors

Roberts, Jonathan
Keim, Daniel
Hanratty, Timothy
Rowlingson, Robert
Walker, Rick
Hall, Mark
Jackobson, Zack
Lavigne, Valerie
Rooney, Chris
Varga, Margaret

Publisher

The Eurographics Association

Abstract

Decision makers such as military leaders and security analysts are increasingly being asked to make decisions on ill-defined problems. These problems may contain uncertain or incomplete data, and are often complex to piece together. Consequently, decision makers rely heavily on intuition, knowledge and experience. We argue for rich narratives that encapsulate both explicit data and implicit knowledge, supported by three levels of provenance: data, analytical and reasoning. Our hypotheses is that visual analytics tools and methods can help to provide a valuable means to make sense of these complex data, and to help make this tacit knowledge explicit, to support the construction and presentation of the decision.

        @inproceedings{:10.2312/eurova.20141138
,
booktitle = {EuroVis Workshop on Visual Analytics
},
editor = {M. Pohl and J. Roberts
},
title = {{From Ill-defined Problems to Informed Decisions
}},
author = {Roberts, Jonathan and 
Keim, Daniel and 
Hanratty, Timothy and 
Rowlingson, Robert and 
Walker, Rick and 
Hall, Mark and 
Jackobson, Zack and 
Lavigne, Valerie and 
Rooney, Chris and 
Varga, Margaret
},
year = {2014
},
publisher = {The Eurographics Association
},
ISBN = {978-3-905674-68-2
},
DOI = {/10.2312/eurova.20141138
}
}