Determining the perceived value of information when combining supporting and conflicting data

Timothy Hanratty; Eric Heilman; John Richardson; Mark Mittrick; Justine Caylor

doi:10.1117/12.2264820

3 May 2017 Determining the perceived value of information when combining supporting and conflicting data

Timothy Hanratty, Eric Heilman, John Richardson, Mark Mittrick, Justine Caylor

Proceedings Volume 10207, Next-Generation Analyst V; 102070N (2017) https://doi.org/10.1117/12.2264820
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

Modern military intelligence operations involves a deluge of information from a large number of sources. A data ranking algorithm that enables the most valuable information to be reviewed first may improve timely and effective analysis. This ranking is termed the value of information (VoI) and its calculation is a current area of research within the US Army Research Laboratory (ARL). ARL has conducted an experiment to correlate the perceptions of subject matter experts with the ARL VoI model and additionally to construct a cognitive model of the ranking process and the amalgamation of supporting and conflicting information.

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Timothy Hanratty, Eric Heilman, John Richardson, Mark Mittrick, and Justine Caylor "Determining the perceived value of information when combining supporting and conflicting data", Proc. SPIE 10207, Next-Generation Analyst V, 102070N (3 May 2017); https://doi.org/10.1117/12.2264820

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