Accession Number:



Using the Value of Information (VoI) Metric to Improve Sensemaking

Corporate Author:

US Army Research Laboratory Aberdeen Proving Ground United States

Report Date:



Sensemaking is the cognitive process of creating schemata from extracted information, making decisions from those schemata, and inferring conclusions. Human analysts are essential to exploring and quantifying this process, but they are limited by their inability to process the volume, variety, velocity, and veracity of data. Visualization tools can help this human computer interaction. For example, analytical tools that use graphical link-node visualization can help sift through vast amounts of information. However, assisting the analyst in making connections with visual tools can be challenging if the information is not presented in an intuitive manner. Experimentally, it has been shown that analysts increase the number of hypotheses formed if they use visual analytic capabilities. Exploring multiple perspectives could increase the diversity of those hypotheses, potentially minimizing cognitive biases. This report presents preliminary research results that indicate an improvement in sensemaking over the traditional link-node visualization tools by incorporating an annotation enhancement that differentiates links connecting nodes. This enhancement provides a visual cue, which represents the perceived value of reported information. Improved sensemaking occurs because the limitations of mentally consolidating, weighing, and highlighting data are removed. This study investigates line thickness as a valid representation of Value of Information.

Descriptive Note:

Technical Report,01 Feb 2017,30 Nov 2017

Supplementary Note:

01 Jan 0001, 01 Jan 0001, Presented at 22nd ICCRTS, 2017 November 68, Los Angeles, CA. Also available as arXiv: 1807.09837



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Distribution Statement:

Approved For Public Release;

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