• DocumentCode
    1170146
  • Title

    Minimizing human-machine interface failures in high risk systems

  • Author

    Sudano, J.J.

  • Author_Institution
    Martin Marietta Government Electron. Syst., Morristown, NJ, USA
  • Volume
    9
  • Issue
    10
  • fYear
    1994
  • Firstpage
    17
  • Lastpage
    20
  • Abstract
    Technology now permits the building of very complex man-machine systems with centralized controls, with the result that many processes can be run by relatively few individual workers. Studies of failures within these complex systems indicate that they are usually the consequence of a series of highly complex coincidences. There is an institutional neglect or misunderstanding of the implications of low-probability, high-consequence events for the design of complex man-machine systems. We must stop designing systems in which we virtually guarantee that operator errors will occur with catastrophic consequences. The greatest payback in reducing high risk system accidents is to reduce catastrophes induced or exacerbated by human error. This paper discusses some task breakdowns between the human element and software/hardware. These task allocations allow the complex man-machine system to be designed more robustly and prevent human error so as to reduce possible catastrophic consequences.<>
  • Keywords
    accidents; centralised control; computerised control; fault tolerant computing; human factors; large-scale systems; man-machine systems; software reliability; aircraft accidents; catastrophes; catastrophic consequences avoidance; centralized controls; complex man-machine system; failures minimisation; human error; human-machine interface failures; task allocations; task breakdowns; Accidents; Control systems; Error correction; Hardware; Humans; Man machine systems; Power generation; Robustness; Software systems; Software testing;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0885-8985
  • Type

    jour

  • DOI
    10.1109/62.318878
  • Filename
    318878