DocumentCode :
3564492
Title :
QuEST for information fusion
Author :
Blasch, Erik ; Rogers, Steven K. ; Culbertson, Jared ; Rodriguez, Andres ; Fenstermacher, Laurie ; Patterson, Robert E.
Author_Institution :
Inf. Directorate, Air Force Res. Lab., Rome, NY, USA
fYear :
2014
Firstpage :
215
Lastpage :
223
Abstract :
Qualia-based Exploitation of Sensing Technology (QuEST) is an approach to create a cognitive exoskeleton to improve human-machine decision quality. In this paper, we discuss the motivation of QuEST as it pertains to man-machine information fusion. Operator-based situation awareness includes both elements of external sensory perception and internal cognitive explanation. We outline QuEST elements and tenets towards a reasoning approach that achieves human intelligence amplification (IA) as opposed to data aggregation from machine artificial intelligence (AI). In a use case example for automatic target exploitation, we showcase the need for enhanced understanding of the man (mind-body cognition) and the machine (sensor-based reasoning) for establishing a cohesive narrative of situational activities.
Keywords :
cognitive systems; data handling; man-machine systems; sensor fusion; AI; IA; QuEST elements; Qualia-based Exploitation of Sensing Technology; automatic target exploitation; cognitive exoskeleton; data aggregation; external sensory perception; human intelligence amplification; human-machine decision quality; internal cognitive explanation; machine artificial intelligence; man-machine information fusion; operator-based situation awareness; Artificial intelligence; Automation; Cognition; Communities; Context; Decision making; Sensors; QuEST; automation and autonomy; cognition; information fusion; intelligence amplification; visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference, NAECON 2014 - IEEE National
Print_ISBN :
978-1-4799-4690-7
Type :
conf
DOI :
10.1109/NAECON.2014.7045805
Filename :
7045805
Link To Document :
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