From Event: SPIE Defense + Security, 2017
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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 (Presented at SPIE Defense + Security: April 11, 2017; Published: 3 May 2017); https://doi.org/10.1117/12.2264820.