Early feedback from the operation of Uninhabited Air Vehicles (UAVs) indicates that improvements in the operator interface aspects of these emerging systems would reap significant gains in system performance and effectiveness. This applies to both effective control of UAVs as well as management of data and dissemination of the associated information. The Canadian Forces (CF) are pursuing the introduction of UAVs, and while such platforms may provide an enormous amount of data, the management of data to support effective human decision making is still an issue. Various levels of automation have been suggested as a way of addressing the problem including Intelligent/Adaptive Interfaces (IAIs) for decision support. IAIs are intended to manage information dynamically and provide the right data and information to the right people, at the right time, to support effective decision making. The work reported in this paper investigated the efficacy of IAIs in an operational situation. The selected environment involved UAV operations in support of counter terrorist activities with the IAI modelled as part of the UAV tactical workstations of a modernized CP-140 aircraft. In order to produce an analysis of UAV operations which are relevant to CF UAV implementation plans, a one-hour mission scenario was developed which reflected a portion of the upcoming Canadian Forces Experimentation Centre (CFEC) Atlantic Littoral Intelligence, Surveillance and Reconnaissance Experiment (ALIX) program. In order to facilitate the development of a performance model implemented in an Integrated Performance Modelling Environment, a Hierarchical Goal Analysis and Operational Sequence Diagrams were prepared for the scenario. The model was run in two modes: one assuming the operators used a conventional interface and the second assuming interface automation using an IAI.


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    Title :

    Hierarchical Goal Analysis and Performance Modelling for the Control of Multiple UAVs/UCAVs from an Airborne Platform. Volume 1


    Contributors:
    B. Kobierski (author) / J. Lamarre (author)

    Publication date :

    2004


    Size :

    578 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English