Human Interpretation of Text and Video Analytics

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Authors
  1. Bowman, E.K.
  2. Jobidon, M-E.
  3. Bergeron-Guyard, A.
  4. Kase, S.E.
Corporate Authors
Defence Research and Development Canada, Valcartier Research Centre, Quebec QC (CAN);Army Research Lab, Aberdeen Proving Ground MD (US)
Abstract
New information technologies (mobile Internet, cloud storage, social networking, Internet of Things) are transforming how individuals and social groups create new knowledge and understand the world. Military analysts cannot keep pace with the volume/variety/velocity of data collected from global sensors and multimedia sources (e.g., text, video, and images). Impressive gains in advanced analytics are emerging and are needed, in combination with new visualization technologies and approaches, to enable analysts full control over, and understanding of, the data relations. These technologies will help humans to derive meaningful and actionable conclusions from the massive amount of data available to them. This is particularly critical in a context where nations face an increasing threat of the global spread of terrorism, humanitarian crises/disaster, and public health emergencies. These threats are informed and/or influenced by the unprecedented rise of information sharing technologies and practices, even in the most underprivileged nations. In this new information environment, agile data algorithms, machine learning software, and alert mechanisms must exploit available data to support timely and effective decision making. Human users of these systems must understand the underlying context of the computational space to accurately interpret machine-processed indicators and warnings and recommendations. In this paper, we will explore human dimension considerations (e.g., opportunit
Keywords
multi-source analytics;human factors;intelligence;text;video;visualization
Report Number
DRDC-RDDC-2017-P087 — External Literature
Date of publication
11 Dec 2017
Number of Pages
18
DSTKIM No
CA045342
CANDIS No
805743
Format(s):
Electronic Document(PDF)

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