The introduction of Automatic Speech Recognition (ASR) technology into the Air Traffic Control (ATC) system has the potential to improve overall safety and efficiency. However, because ASR technology is inherently a part of the man-machine interface between the user and the system, the human factors issues involved must be addressed. Here, some of the human factors problems are identified and related methods of investigation are presented. Research at M.I.T.'s Flight Transportation Laboratory is being conducted from a human factors perspective, focusing on intelligent parser design, presentation of feedback, error correction strategy design, and optimal choice of input modalities.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Automatic Speech Recognition in Air Traffic Control: A Human Factors Perspective


    Contributors:
    J. Karlsson (author)

    Publication date :

    1990


    Size :

    5 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English