As the level of automation within an aircraft increases, the interactions between the pilot and autopilot play a crucial role in its proper operation. Issues with human–machine interactions have been cited as one of the main causes behind many aviation accidents. The complex nature of a pilot’s interactions with an autopilot system makes it challenging to identify all possible actions that may lead to an human–machine interaction-related incident. In this paper, a data-driven analysis tool is proposed to detect and categorize potential human–machine interaction issues in large-scale flight operational quality assurance datasets. The proposed tool is developed using a multilevel clustering framework, where a set of basic clustering techniques are combined with a consensus-based approach to group human–machine interaction events and create a data-driven model from the flight operational quality assurance data. The proposed framework is able to effectively compress a large dataset into a small set of representative clusters within a data-driven model, enabling subject matter experts to effectively investigate potential human–machine interaction issues.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Data-Driven Modeling and Analysis Framework for Cockpit Human–Machine Interaction Issues


    Contributors:

    Published in:

    Publication date :

    2016-10-06


    Size :

    11 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Clustering Algorithm for Large-Scale Flight Data Analysis of Cockpit Human Machine Interaction Issues (AIAA 2016-4077)

    Vaidya, Abhishek / Lee, Sangjin / Hwang, Inseok | British Library Conference Proceedings | 2016


    Multimodal human interaction analysis in vehicle cockpit

    Portes, Quentin / Pinquier, Julien / Lerasle, Frederic et al. | IEEE | 2021



    Vehicle-mounted cockpit man-machine interaction console

    WANG GANG | European Patent Office | 2021

    Free access