Home // ADAPTIVE 2014, The Sixth International Conference on Adaptive and Self-Adaptive Systems and Applications // View article
HCI Dilemmas for Context-Aware Support in Intelligence Analysis
Authors:
Daniel Lafond
René Proulx
Alexis Morris
William Ross
Alexandre Bergeron-Guyard
Mihaela Ulieru
Keywords: adaptive system; human-computer interaction;context awareness; case-based recommendation; brain-computer interface; information relevance; modeling
Abstract:
The REcommending Cases based on cONtext (RECON) system is a prototype adaptive technology designed to support intelligence analysis using dynamic load balancing and advanced human-machine synergy. RECON combines a brain-computer interface, machine learning, and simulation in order to create an innovative case-based recommendation capability. Several dilemmas emerge when designing joint cognitive systems endowed with an adaptive capacity. Herein, we critically discuss these dilemmas related to human modeling and human-computer interaction.
Pages: 68 to 72
Copyright: Copyright (c) IARIA, 2014
Publication date: May 25, 2014
Published in: conference
ISSN: 2308-4146
ISBN: 978-1-61208-341-4
Location: Venice, Italy
Dates: from May 25, 2014 to May 29, 2014