In this paper we describe a human factors approach to decision support systems design, called Crew Intent Inference, that shifts the focus from the automation systems to the user. Systems that generate expectations of the crew's intent can provide enhanced decision support in numerous ways, among which is better aircrew coordination. We discuss crew coordination issues and how an intent-aware system might promote better coordination. Intent Inference involves the analysis of an operator's actions to identify the possible goals being pursued by that operator. Extending intent inference to cases involving crews can allow observations of individual operators' actions to be used to infer the goals of the entire team. Conversely, knowledge of the team's goals can be used to predict the actions and information needs of individual crew members. We discuss our preliminary work in extending this approach to the aircrew coordination domain.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Crew intent-inference: a human factors approach to flight deck automation and decision support


    Beteiligte:
    Bell, B. (Autor:in) / Wise, J.A. (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    858828 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Intent Inference-Based Flight-Deck Human-Automation Mode-Confusion Detection

    Lee, Sangjin / Hwang, Inseok / Leiden, Kenneth | AIAA | 2015


    Automation Intent Inference Using the GFHMM for Flight Deck Mode Confusion Detection

    Lyu, Hao / Nandiganahalli, Jayaprakash Suraj / Hwang, Inseok | AIAA | 2018


    Human factors issues of flight deck automation

    Funk, K. / Lyall, B. | IEEE | 1998


    Human Factors of Flight-Deck Automation: Nasa/Industry Workshop

    D. A. Boehm-davis / R. E. Curry / E. L. Wiener et al. | NTIS | 1981