This project explored the possibility of predicting pilot situational awareness (SA) using human performance modeling techniques for the purpose of evaluating developing cockpit systems. The Improved Performance Research Integration Tool (IMPRINT) was combined with the Adaptive Control of Thought-Rational (ACT-R) cognitive modeling architecture to produce a tool that can model both the discrete tasks of pilots and the cognitive processes associated with SA. The techniques for using this tool to predict SA were demonstrated using the newly developed Aviation Weather Information (AWIN) system. By providing an SA prediction tool to cockpit system designers, cockpit concepts can be assessed early in the design process while providing a cost-effective complement to the traditional pilot-in-the-loop experiments and data collection techniques.


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    Titel :

    Cockpit System Situational Awareness Modeling Tool


    Beteiligte:
    Keller, John (Autor:in) / Lebiere, Christian (Autor:in) / Shay, Rick (Autor:in) / Latorella, Kara (Autor:in)

    Kongress:

    2nd Conference on Human Performance, Situation Awareness and Automation Technology ; 2004 ; Daytona Beach, FL, United States


    Erscheinungsdatum :

    01.01.2004


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




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