Making Sense of Large Datasets in the Context of Complex Situation Understanding

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Authors
  1. Mokhtari, M.
  2. Boivin, E.
  3. Laurendeau, D.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN);LAVAL UNIV, QUEBEC (QUE) COMPUTER VISION AND SYSTEMS LAB
Abstract
This paper presents exploration prototype tools (combining visualization and human-computer interaction aspects) developed for immersive displays in the context of the IMAGE project. IMAGE supports collaboration of users (i.e., experts, specialists, decision-makers…) for common understanding of complex situations by using a human-guided feedback loop involving cutting-edge techniques for knowledge representation, scenario scripting, simulation, and exploration of large datasets.

Il y a un résumé en français ici.

Keywords
user-machine systems;human factors;multimedia information systems;artifical augmented virtual realities
Report Number
DRDC-VALCARTIER-SL-2013-403 — Scientific Literature
Date of publication
01 Jul 2013
Number of Pages
24
DSTKIM No
CA046831
CANDIS No
807215
Format(s):
Electronic Document(PDF)

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