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Proceedings Paper

Determining the perceived value of information when combining supporting and conflicting data
Author(s): Timothy Hanratty; Eric Heilman; John Richardson; Mark Mittrick; Justine Caylor
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Paper 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.

Paper Details

Date Published: 3 May 2017
PDF: 8 pages
Proc. SPIE 10207, Next-Generation Analyst V, 102070N (3 May 2017); doi: 10.1117/12.2264820
Show Author Affiliations
Timothy Hanratty, U.S. Army Research Lab. (United States)
Eric Heilman, U.S. Army Research Lab. (United States)
John Richardson, U.S. Army Research Lab. (United States)
Mark Mittrick, U.S. Army Research Lab. (United States)
Justine Caylor, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 10207:
Next-Generation Analyst V
Timothy P. Hanratty; James Llinas, Editor(s)

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