INTEGRATING HUMAN FACTORS INTO THE HUMAN-COMPUTER INTERFACE: HOW BEST TO DISPLAY METEOROLOGICAL INFORMATION FOR CRITICAL AVIATION DECISION-MAKING AND PERFORMANCE

Technological innovations like the Geostationary Operational Environmental Satellites (GOES) have had a significant impact on the real-time weather information and forecasting of meteorological variables necessary for hazardous weather avoidance. New predictive algorithms based on GOES data are now available for fog, icing, turbulence and microbursts. A survey of pilots showed that it was essential for a predictive product to have a high degree of accuracy. Microburst forecast products generated from GOES data indicated that microbursts occurred 88% of the time they were forecast and none occurred when not predicted, meeting this high standard of predictive certainty. Advance information on this hazard has been shown to influence the decision-making flight behavior of pilots. This paper examines how to present microburst prediction product to an aircrew. A color-coded display has been developed of microburst potential. The display was designed to meet critical human factors design criteria, including user preferences, biases and usability.

  • Availability:
  • Corporate Authors:

    Aviation Institute

    University of Nebraska, 60th and Dodge Streets
    Omaha, NE  United States  68182-0508
  • Authors:
    • Witiw, M R
    • Lanier, R C
    • Cook, C
    • Crooks, K A
  • Publication Date: 2003

Language

  • English

Media Info

  • Features: References;
  • Pagination: p. 129-138
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00964733
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 24 2003 12:00AM