Home // International Journal On Advances in Intelligent Systems, volume 7, numbers 3 and 4, 2014 // View article

Architectural Design Considerations for Context-Aware Support in RECON Intelligence Analysis

Authors:
Alexis Morris
William Ross
Mihaela Ulieru
Daniel Lafond
René Proulx
Alexandre Bergeron-Guyard

Keywords: adaptive systems; context-awareness; human factors; human-computer interaction; brain-computer interfaces

Abstract:
The REcommending Cases based on cONtext (RECON) system is a prototype adaptive technology designed to support intelligence analysts in overcoming the problem of cognitive overload. Its central objective is to assist these analysts during the collection, processing, and analysis phases of the intelligence cycle through sense-making of both explicit and implicit contextual information. RECON combines machine learning, text-analysis, brain-computer interfaces, and simulation to create an innovative case-based recommendation capability. In developing RECON, multiple considerations have been explored based on key human-computer interaction dilemmas that emerge when designing joint-cognitive systems endowed with an adaptive capacity. Herein, eight architectural design considerations are discussed, related to human-modelling, human-machine interaction, and human-machine synergy, which have impacted the system development. The central RECON architecture and its components are also presented, including a context-sensitive cognitive model based on COCOM. This work aims to provide these core architectural components and their design considerations as a contribution toward aiding developers in designing, customizing, and improving future adaptive context-management systems.

Pages: 637 to 651

Copyright: Copyright (c) to authors, 2014. Used with permission.

Publication date: December 30, 2014

Published in: journal

ISSN: 1942-2679