• DocumentCode
    2432950
  • Title

    Human-machine interaction in x-ray screening

  • Author

    Michel, Stefan ; Schwaninger, Adrian

  • Author_Institution
    Sch. of Appl. Psychol., Univ. of Appl. Sci. Northwestern Switzerland, Olten, Switzerland
  • fYear
    2009
  • fDate
    5-8 Oct. 2009
  • Firstpage
    13
  • Lastpage
    19
  • Abstract
    This article discusses different ways to enhance human-machine interaction in x-ray screening, especially regarding x-ray image display technology. It represents a summary of the studies conducted as work package 4 of the EU funded VIA project (www.viaproject.eu). First, important theoretical issues regarding the interpretation of x-ray images are discussed. We then explain how to measure x-ray image interpretation competency using tests built into CBT. This is followed by a summary of studies on how to increase the efficiency in x-ray screening using computer-based training (CBT). We then discuss the relevance of so-called image enhancement functions (IEFs) and the value of multi-view x-ray technology. Finally, we present the results of statistical modeling which allowed us to predict x-ray image difficulty and human performance.
  • Keywords
    X-ray imaging; aerospace computing; aerospace safety; airports; computer based training; human computer interaction; image enhancement; computer-based training; human-machine interaction; image enhancement function; statistical modeling; x-ray image display technology; x-ray image interpretation; x-ray screening; Airports; Explosives; Humans; Man machine systems; Object recognition; Security; Spraying; Switches; Testing; X-ray imaging; aviation security; display technologies; humanmachine interaction; object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology, 2009. 43rd Annual 2009 International Carnahan Conference on
  • Conference_Location
    Zurich
  • Print_ISBN
    978-1-4244-4169-3
  • Electronic_ISBN
    978-1-4244-4170-9
  • Type

    conf

  • DOI
    10.1109/CCST.2009.5335572
  • Filename
    5335572