• 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