Studies of man-task system behavior start with the obtaining of behavi
oral data. The recorded variables are generally numerous, can be objec
tive and/or subjective and can be classified by their scale types. The
next stage is to describe the behavior through a preprocessing techni
que in such a way that all variables have the same scale type. To achi
eve this goal, the qualitative scale is chosen but to lose as little i
nformation as possible from a quantitative to qualitative scale transf
ormation, fuzzy categories are considered. The next stage is to analyz
e the resulting data set. A data set is considered through an observat
ion X category table and studied using either the simple or multiple c
orrespondence factor analysis. These methods yield both mathematical a
nd descriptive behavior patterns. Their advantages are to not consider
a priori too much constrained mathematical hypotheses and too much sy
nthesized indicators (computed over the subject sample, for example).
The general data analysis procedure (data characterizing/correspondenc
e analysis) is described for four different data set types: judgments
using quantitative scales, multidimensional signals, viewer behavior u
sing eye movements, and operator behavior in tracking task.