Detection theory entered psychology as a way to explain detection experiments, in which weak visual or auditory signals must be distinguished from
a "noisy" background. In Signal Detection Theory and Psychophysics A966), David Green and John Swets portrayed observers as decision makers trying to optimize performance in the face of unpredictable variability, and they prescribed experimental methods and data analyses for separating
decision factors from sensory ones.