dc.description.abstract | General aviation pilots perform many tasks during a flight such as
navigating a route, performing 'see and avoid', operating the radio and navigational
instruments, viewing charts and approach plates, and scanning and interpreting
their flight instruments. In addition to these tasks, pilots may utilize a cockpit
weather presentation to monitor weather information for areas along the route of
flight. Due to the complexity of most modern weather displays, information
changes may go unnoticed. The objective of this study was to examine how
saliency characteristics such as line color, thickness, and orientation affected an
observer’s change detection performance and response time. The study divided the
sample population into three groups which were each designated a color of either
black, red, or blue. The participants then completed a part-task change detection experiment where their ability to distinguish changes between images was
measured, along with their response times for each trial. Upon completion of the
experiment, the data was analyzed using Bayesian Signal Detection Theory. The
key finding of this study was that change detection performance was best for
objects with higher saliency levels in both the line color and thickness cases. | en_US |